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Paper Citation Record · LEDGER

Seed-Coder: Let the Code Model Curate Data for Itself

As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 21 inbound Pith citation observations for arXiv:2506.03524.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.03524 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:04:56.934472Z

measured 87 of 87 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:24:47.307968Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d8568774-81ac-4e8d-8c9a-278adb382d5e · outbound

This paper cites Meet Yi-Coder : A small but mighty LLM for code, September 2024.

Seed-Coder: Let the Code Model Curate Data for Itself Meet Yi-Coder : A small but mighty LLM for code, September 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.113258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.678223Z digest=sha256:533730749af69c9f5400792df8b06844d784f3e0b2561f7ddb0acd1006941cf3

Observation c09a9df5-1bca-49fd-a174-9b2c0aede457 · outbound

This paper cites SantaCoder: don't reach for the stars!.

Seed-Coder: Let the Code Model Curate Data for Itself SantaCoder: don't reach for the stars!

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.682931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.682931Z digest=sha256:a8e18b052a7728877ca6c1b30473e096fdf130b8cdfaa88193eb30e3ca7c4de7

Observation ba7b1777-fb1d-475e-ba0f-8c317d2c6d83 · outbound

This paper cites Claude 3.7 sonnet, February 2025.

Seed-Coder: Let the Code Model Curate Data for Itself Claude 3.7 sonnet, February 2025

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.100836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.687474Z digest=sha256:999c01ee09a7b7bdcb72d5b3af70918d616e09e0e31f538350858a593a59a615

Observation fc9380d0-1bb6-4773-8a5e-3b9e0b63fd42 · outbound

This paper cites Athiwaratkun, S.

Seed-Coder: Let the Code Model Curate Data for Itself Athiwaratkun, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.088374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.691482Z digest=sha256:a98b31d831fa386ea59bc215e36709a0ab599e39515976489012c50da5a1357c

Observation 72ad44f7-e78e-41fa-a04c-60821093514e · outbound

This paper cites Program Synthesis with Large Language Models.

Seed-Coder: Let the Code Model Curate Data for Itself Program Synthesis with Large Language Models

Reference 5

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unresolved
no resolver link, observed 2026-08-07T11:04:56.695368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.695368Z digest=sha256:49ba2ccbce60044774f948c220d618d7c25aaab3125ce29e5b2accf6c1443930

Observation bb9950f7-8aad-43ae-9f90-756d6eccfd7b · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

Seed-Coder: Let the Code Model Curate Data for Itself Efficient Training of Language Models to Fill in the Middle

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.703950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.703950Z digest=sha256:880f5224e19b1fc18c0262ca5b38ff3a9d21a48ed6fc5fbdb3fc6d42ca300358

Observation dc399fb5-2c1c-4fce-a64c-55abfcfcd900 · outbound

This paper cites Brunsfeld.

Seed-Coder: Let the Code Model Curate Data for Itself Brunsfeld

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.075507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.707666Z digest=sha256:b4ef0d09bda58ee40a5f6e915f49c978778357d664fdcdddd470107c5f1c9b68

Observation 59880612-c8ea-4af9-b983-321facde5c4d · outbound

This paper cites Seed1.5-Thinking : Advancing superb reasoning models with reinforcement learning, 2025.

Seed-Coder: Let the Code Model Curate Data for Itself Seed1.5-Thinking : Advancing superb reasoning models with reinforcement learning, 2025

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.711309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.711309Z digest=sha256:45adf5aa097fdeba0cf980c54b80e1bd62cab344f19059b4a98a7a94362445cc

Observation ea4aee0a-f0dd-4f07-9e16-e5ab455da6c6 · outbound

This paper cites Cassano, J.

Seed-Coder: Let the Code Model Curate Data for Itself Cassano, J

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.715128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.715128Z digest=sha256:ea8001921ad2d6e911ac40fdd2adcb3e95afdbb1416549d1b879060e5fdbd4f5

Observation f82f9cab-5133-4eee-ba0a-3817aee25d0a · outbound

This paper cites Cassano, L.

Seed-Coder: Let the Code Model Curate Data for Itself Cassano, L

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.063046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.719007Z digest=sha256:4a00d16a3702dbdbab9dd2a1834f843f8064cae0aa789e1bc3549d8239d784dc

Observation af166813-edfc-4018-925f-6118bdd161cf · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Seed-Coder: Let the Code Model Curate Data for Itself Evaluating Large Language Models Trained on Code

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.722523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.722523Z digest=sha256:a40c822da43399b6ec53d8b02fbef408dbc3e84b1529926ea2cbb9ac6398baae

Observation d59562fd-4f37-49f5-9e5b-845334c1ec66 · outbound

This paper cites MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation.

Seed-Coder: Let the Code Model Curate Data for Itself MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.726145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.726145Z digest=sha256:7e60f04d527e73e032c4585ecc294a9d7256aaa6ee960771095384ec06a2d2c8

Observation 7ecb1adf-1f11-42c1-9810-4db0c8e693fc · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Seed-Coder: Let the Code Model Curate Data for Itself DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.730051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.730051Z digest=sha256:861e488833b4e1026febce1e703050f810aa788bc46c68eb9c2782cde3e0e752

Observation 9b620cd8-310c-441b-9a66-f1baa4fe0604 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Seed-Coder: Let the Code Model Curate Data for Itself DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.733944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.733944Z digest=sha256:e8796d16e1edc69a8dcb1c4669ca85becc2c02f86e5f4894f5aa96980e40aab8

Observation 704c03b1-a07e-46ff-bb0f-be61fd06be9d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Seed-Coder: Let the Code Model Curate Data for Itself DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.737893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.737893Z digest=sha256:7ce7f8fbc6cdfef45a7329d2c9eddacf7b12dbf57f5f1d7eaa20aa744b26a7c7

Observation 22dd3cf7-def0-4be0-9add-7d2f74d0334b · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:58.050507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.741610Z digest=sha256:737840d86a1ab1b88e9aff51950b53d3567ff2ba37c190dc3c3e10013072f9ae

Observation 7a05fc6f-bc14-4b1e-98ed-ba5e2b89796c · outbound

This paper cites Fried, A.

Seed-Coder: Let the Code Model Curate Data for Itself Fried, A

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.037864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.745516Z digest=sha256:e9fdcc21dcdabaeda98b76ce02f07aece73faf18e93cf1c907bdea8d6111acd0

Observation 785b2445-ae21-4551-9edf-1904fea4a04c · outbound

This paper cites CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution.

Seed-Coder: Let the Code Model Curate Data for Itself CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.749281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.749281Z digest=sha256:6043dd95c4a30911c133d03e282bc7cfdde6b7fa8528c10803e8665e3240ed35

Observation 5d6870b3-b23e-4992-9832-706d06a596a6 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Seed-Coder: Let the Code Model Curate Data for Itself DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.753012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.753012Z digest=sha256:7ebaef749d7ec46ab832280f1ed006f8690e905b2ae5f99809731e537e887676

Observation 12f4d1e6-59da-4f91-8161-f56cdaf60ce6 · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:58.024196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.757226Z digest=sha256:62858b07108caaa1b4e63bb73a5c03a058d7d332007e1e3ef6b3eaeec49c1fb4

Observation c3c009de-85da-41f0-958d-642967c03868 · outbound

This paper cites Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

Seed-Coder: Let the Code Model Curate Data for Itself Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.761018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.761018Z digest=sha256:033ef7cb93a62b5ed13727f26af575a542b3bd5900a5937c04040dd691829ad8

Observation b08c6665-3357-4608-b816-0e00696f4f3e · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

Seed-Coder: Let the Code Model Curate Data for Itself OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.765170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.765170Z digest=sha256:0356b977f0976df87b21df9d35b2211b7296fad41ec008c8723506ace30ac290

Observation 87a2981d-8f4d-4bd6-ad6f-c0c7032e5cec · outbound

This paper cites Open R1 : A fully open reproduction of deepseek-r1, January 2025.

Seed-Coder: Let the Code Model Curate Data for Itself Open R1 : A fully open reproduction of deepseek-r1, January 2025

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:58.011100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.769145Z digest=sha256:501c37c9416a28f72cf74b8381308b149d632dd4a4da4b5c2a21208f9895437e

Observation fd7cf325-a444-4f75-a09a-5bba690fd397 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Seed-Coder: Let the Code Model Curate Data for Itself Qwen2.5-Coder Technical Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.773338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.773338Z digest=sha256:19b3e1a0b2433171f5c727de7d74f38c8799c62196f5b2b598f19b87fbcd8c39

Observation 716a3f2d-d0d1-46a8-92b7-a292f7894832 · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-07T11:04:57.998004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.778189Z digest=sha256:24da8715431c7b81e5c6ab3d29c7f6bde25dc70b8ad67fece227bfa15eab7334

Observation 9beb261b-4699-4b10-b030-80b021a3744f · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.985029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.781879Z digest=sha256:b68977816512bc0b7cd1124ba7270b8b5fbd5b000d7bbebfa87b42eeecae2585

Observation e5b1d793-eb88-44cd-9572-cbfb8482ae91 · outbound

This paper cites FastText.zip: Compressing text classification models.

Seed-Coder: Let the Code Model Curate Data for Itself FastText.zip: Compressing text classification models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.785588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.785588Z digest=sha256:5efb551586bc7848defcaaa608576972aa18e266fb803ea7ae21465b89cc3f38

Observation 00d0ac34-379a-4589-8e8e-ef975ad01c27 · outbound

This paper cites Joulin, E.

Seed-Coder: Let the Code Model Curate Data for Itself Joulin, E

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.971691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.789461Z digest=sha256:3d3f0154d7ef29e9eb65d40309fe1a480663ab77f9e2adbc817bddd42a56c228

Observation a9c4bd00-708e-47b0-bd02-8feebea9e6af · outbound

This paper cites Kiveris, S.

Seed-Coder: Let the Code Model Curate Data for Itself Kiveris, S

Reference 30

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unresolved
no resolver link, observed 2026-08-07T11:04:56.793223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.793223Z digest=sha256:d05ec3e3629804214c49da6e9987153a24511721c2740c95cabb565dac4e5c5c

Observation 076a53b6-9618-4c5b-9e55-0bf66e7abc5f · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 31

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unresolved
no resolver link, observed 2026-08-07T11:04:56.796808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.796808Z digest=sha256:6b017e01b7fa28a74e215b93204ee562288889205916dd174e02d6301832fd51

Observation e3b1aa88-cdc3-4816-94f9-a6450639f530 · outbound

This paper cites StarCoder: may the source be with you!.

Seed-Coder: Let the Code Model Curate Data for Itself StarCoder: may the source be with you!

Reference 32

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unresolved
no resolver link, observed 2026-08-07T11:04:56.800598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.800598Z digest=sha256:6c0fe44d0f23baa95b752fbff86c1b1c4d9da6d1ab750a2fb19a97590f753317

Observation 65be6396-a091-4a8b-b518-4f328757971b · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-07T11:04:56.804573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.804573Z digest=sha256:dac11f5543c0ef50de7a4784c9f3238bd35128bfcbc444aeef1fa06d137fa3f3

Observation 623d06c2-59ac-4fd3-ab6a-dae63b1fcecf · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.958879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.808637Z digest=sha256:12442525ecdc5836491ff393a8410ae5d3ffbfd7c558ddc5fa3e4e29708043bd

Observation 854ed8cf-0fff-412e-98e4-54cae89a945b · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

Seed-Coder: Let the Code Model Curate Data for Itself Best Practices and Lessons Learned on Synthetic Data

Reference 35

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unresolved
no resolver link, observed 2026-08-07T11:04:56.812329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.812329Z digest=sha256:76372837f38d61f6ff75c6881959b081f49d6118012d956bbe34e16453970b92

Observation 4e36ea01-a816-479b-8e55-e5e83f090ed0 · outbound

This paper cites FullStack Bench: Evaluating LLMs as Full Stack Coders.

Seed-Coder: Let the Code Model Curate Data for Itself FullStack Bench: Evaluating LLMs as Full Stack Coders

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.816308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.816308Z digest=sha256:324c663ef0685f4de9279f4c9dd4c22059a58fb8d69a331a9eff9f9c136006b7

Observation 99b276b4-1f87-43c1-8ad8-64bb2f516413 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

Seed-Coder: Let the Code Model Curate Data for Itself Introducing meta llama 3: The most capable openly available llm to date

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.945361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.820173Z digest=sha256:d9d9db0666055a2312d71234b3fa428eadff71df8005858887a237044e85faf8

Observation 027c2ba5-850f-49d9-a80a-534617860cad · outbound

This paper cites Introducing llama 3.1: Our most capable models to date.

Seed-Coder: Let the Code Model Curate Data for Itself Introducing llama 3.1: Our most capable models to date

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.932188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.823763Z digest=sha256:10334e645c04dd050b3018700092159d7215d1b755c5bc62a597aae73595974b

Observation cf86f33b-63ae-4f66-b995-4913e7bbc0ec · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Seed-Coder: Let the Code Model Curate Data for Itself StarCoder 2 and The Stack v2: The Next Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.827388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.827388Z digest=sha256:c3470f62633d055352eb7d683b433495547a9bdc8f76933e7ea75b0e81e07343

Observation d348111f-63c5-4317-b534-5c700ed508b9 · outbound

This paper cites #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models.

Seed-Coder: Let the Code Model Curate Data for Itself #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Reference 40

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no resolver link, observed 2026-08-07T11:04:56.831307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.831307Z digest=sha256:5f99b5103ddcc31c6bd95ea756657a1a126434451e1d3322c69934f10a12fefb

Observation d44c8fb4-4536-45b4-80be-2c9eb7366f24 · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.919585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.835079Z digest=sha256:fd5153bfcc8fcbdc8e6a34c8fa842ef46e83e16eb40347d47898342b74bc609b

Observation daff1a75-17bd-472a-bcd3-7f2ffc50a229 · outbound

This paper cites Codestral.

Seed-Coder: Let the Code Model Curate Data for Itself Codestral

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.906563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.839214Z digest=sha256:b4e7516b5379ff351690a17b641f5880e03bfd2cde6d65ece326b26bce095f0b

Observation 3df3fa75-9810-40c3-b494-3264a433e2bf · outbound

This paper cites OpenAI o3, April 2025.

Seed-Coder: Let the Code Model Curate Data for Itself OpenAI o3, April 2025

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.894282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.842876Z digest=sha256:6e5110e6712c0afb79b83d4cafb9987c9d32672a68f1f1ebb320af6f58417a37

Observation 3caa7b25-8562-4fc5-807c-b8e19bd070d1 · outbound

This paper cites Penedo, A.

Seed-Coder: Let the Code Model Curate Data for Itself Penedo, A

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.881667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.846430Z digest=sha256:ce1974a8f5e08d6eff26e692826259fd8e09a1926cd76a49c20106cbb29755cf

Observation d6dca7f2-f5cf-484a-bac9-ba33ab5a1375 · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

Seed-Coder: Let the Code Model Curate Data for Itself CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.850042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.850042Z digest=sha256:961ee93fd18f9b885137aa1b7c3928977e70939f093ca800d665715a41cc499b

Observation 06eb44be-21b3-4edb-b9db-54fafa072070 · outbound

This paper cites Code with CodeQwen1.5 , April 2024 a.

Seed-Coder: Let the Code Model Curate Data for Itself Code with CodeQwen1.5 , April 2024 a

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.869117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.854100Z digest=sha256:0148611c03c435d9aa747fc00d6a1e6401f99f8e674b80de67cba79737f9a8a5

Observation ba00effd-535d-49ef-898e-e5a5456df4d5 · outbound

This paper cites Introducing Qwen1.5 , February 2024 b.

Seed-Coder: Let the Code Model Curate Data for Itself Introducing Qwen1.5 , February 2024 b

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.855907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.857743Z digest=sha256:9805f447db0022f5dc4cda5aa322f0ef41af5591556992f64094ce79564973fd

Observation 051c9b8d-acf1-4843-bb7f-29de74ac55e9 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024 c.

Seed-Coder: Let the Code Model Curate Data for Itself Qwen2.5: A party of foundation models, September 2024 c

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.842487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.861541Z digest=sha256:3affbd306751c29123928458815ee0fb3d387f6851523dfe908be780af1fc199

Observation 0adbf3a9-506f-4599-8a20-283d0bc8f2a1 · outbound

This paper cites Qwen3, April 2025.

Seed-Coder: Let the Code Model Curate Data for Itself Qwen3, April 2025

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.826303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.865369Z digest=sha256:2c1d25cfd0f9ef7e778273f02c99cb6c4b0f8fe85506dc225604f471e6cdf4b3

Observation df4f554c-4ae3-4259-87b0-c6fdac4df9fa · outbound

This paper cites Rafailov, A.

Seed-Coder: Let the Code Model Curate Data for Itself Rafailov, A

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:04:57.813035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.869426Z digest=sha256:be03ebf5b1559371eeef3649987a7f7543b281f6a9cdaac8903d3adb2fd9c01c

Observation fc60e82c-26f2-44da-9608-f4a06e0c9b78 · outbound

This paper cites Robertson and H.

Seed-Coder: Let the Code Model Curate Data for Itself Robertson and H

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.873204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.873204Z digest=sha256:39b88db1c241289dcf73ea54ae0452573f7f0c491221e04155b857c72e5737ae

Observation 5dd0854a-ef8b-4061-8541-98bf0cb9864f · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Seed-Coder: Let the Code Model Curate Data for Itself Code Llama: Open Foundation Models for Code

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.877124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.877124Z digest=sha256:ee34df30975723112abce40306ddb1baae835d5aa23b505e3768fc7faf7d3bbc

Observation d831d864-e164-4ca2-b248-32de8f6c4321 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Seed-Coder: Let the Code Model Curate Data for Itself DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.881090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.881090Z digest=sha256:027036ce4d7f8d7402b3a4d245b05c0bdd7da233a788b010a3c7428bd55ae9a1

Observation dc7cb65b-df6b-4b1f-a758-f6faf4df7904 · outbound

This paper cites Sheng, C.

Seed-Coder: Let the Code Model Curate Data for Itself Sheng, C

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.884682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.884682Z digest=sha256:47906ffd5f42b23e52234ce4c9989f91c72790c64490bcfe04874cebf51bce22

Observation 26e6246a-a318-4d83-a061-c7d43e2f8a1e · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.798829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.888265Z digest=sha256:e8e207abff823eb874cbe4a178f98ab54f23518dd30ec39ac9f34782d142d8ba

Observation a73ee8dd-0669-43e0-9a64-21722991ed59 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Seed-Coder: Let the Code Model Curate Data for Itself Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.891987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.891987Z digest=sha256:16d5bf05ffb7d98639b50ee89cb6a0b8c2e4207edfc6934cd79c327d3f09a5bb

Observation a228274c-81b3-4f0a-a2ce-d1bdb597a68b · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.785173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.895767Z digest=sha256:fabe0f86548f150e54e3697bd9527c55a33f6d55e5ad40310ca02f01e4ffa9bd

Observation a85d5120-3184-467e-969b-ee640688587f · outbound

This paper cites Magicoder: Empowering Code Generation with OSS-Instruct.

Seed-Coder: Let the Code Model Curate Data for Itself Magicoder: Empowering Code Generation with OSS-Instruct

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.899524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.899524Z digest=sha256:4efbcedffda5dd99b0f4b5997f4ef524c52bbd8a429484c165166d255550a257

Observation 39a3127b-4ab8-4e08-b5ce-5d72158b0429 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

Seed-Coder: Let the Code Model Curate Data for Itself Agentless: Demystifying LLM-based Software Engineering Agents

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.903305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.903305Z digest=sha256:620a3a1a7791b5949ab1bfa63c417878584ece56a0c0e24cdfb00494d8042a53

Observation cdf9bd70-ff73-41df-b817-ebc7834f7af2 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Seed-Coder: Let the Code Model Curate Data for Itself DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.907014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.907014Z digest=sha256:aa6563adafe041b67beeff5efd9137fd5a82980196d3c13625f5bacc38ead61a

Observation e7cb9348-8eac-41ce-b214-9bfa88456317 · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.910888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.910888Z digest=sha256:410e4bb0db7e1143ee9f994ab276eb7dc7bc2fcf72ed2fb549e4e838e29e5faf

Observation 39247131-45d6-4549-a5ac-705e579a0805 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Seed-Coder: Let the Code Model Curate Data for Itself Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.914781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.914781Z digest=sha256:6d1dd9733bcbd74c54e75eff4cce129c20a4afad23a09502f535b8ba7bd04601

Observation f3bde5e1-d793-48ea-be64-bb6cb9a297d2 · outbound

This paper cites Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving.

Seed-Coder: Let the Code Model Curate Data for Itself Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.918829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.918829Z digest=sha256:266131261e2351e74ebfd1665393b44718db73b4425c61acf24b5d813738d0d1

Observation 118591d7-076d-491f-aa4b-f1576e150cef · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

Seed-Coder: Let the Code Model Curate Data for Itself RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.922734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.922734Z digest=sha256:c82eb64cfa65388db8ac0b42a50fb04d769d91c1324aa9d85d30043fb456f28e

Observation feece394-c6f3-426e-bf88-a55688ba4792 · outbound

This paper cites NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.

Seed-Coder: Let the Code Model Curate Data for Itself NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.926699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.926699Z digest=sha256:cc2b212a8620d67c52ce91f74a36a729ef2284604068a32e0f1e632e7efac5c3

Observation b4582e73-8668-4d23-94e8-32e862958f9b · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

Seed-Coder: Let the Code Model Curate Data for Itself WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:56.930641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:04:56.930641Z digest=sha256:0374f8c5ea810610fe0f345ab1804258b50b1b1c5d399da1cc7263a36b2f122b

Observation 77282f09-9507-4803-8d86-0cc1cf887a89 · outbound

This paper cites an unresolved cited work.

Seed-Coder: Let the Code Model Curate Data for Itself Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:04:57.770715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T11:04:56.934472Z digest=sha256:c4479e65d3bc281de596a40272a0a61bab4ea09085d0cd52780a1fe86d4d8510

Pith citing papers

Observation 7d80bcec-638b-425c-b8db-01ca360ed9d4 · inbound

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs cites this paper.

AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs Seed-Coder: Let the Code Model Curate Data for Itself

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:24:47.307968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:24:47.307968Z digest=sha256:5bdfb8f934e0bf2787cd0e58d6cc5eeb395f2e7a235c3ff3627dab722e151bb7

Observation 9378ca81-a9a0-4a90-a52f-254771dfe304 · inbound

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference cites this paper.

Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference Seed-Coder: Let the Code Model Curate Data for Itself

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T16:17:50.255321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T16:17:50.215935Z digest=sha256:f29054ef8e2296f082be8d300110964d91ce10b7378075d2522629ca7677d549

Observation f91e24b2-3419-459c-81de-f8f935449a3f · inbound

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators cites this paper.

AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators Seed-Coder: Let the Code Model Curate Data for Itself

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T21:18:27.964338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:18:27.964338Z digest=sha256:8c170199cd353d9cd1ae22b88590463e2ce4b7c1255f31e6ff7b1f2bfe1da8cc

Observation 6047bd7e-680c-478d-9606-c39ef50e21c0 · inbound

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance Seed-Coder: Let the Code Model Curate Data for Itself

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T10:53:09.168062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:53:09.168062Z digest=sha256:ace860bfe6e744d83e0f1409442f32903657712e26ef7f22e0ac05305971ea8b

Observation 3eea31dd-6b85-467a-96d4-cf543c331726 · inbound

GIFT: Games as Informal Training for Generalizable LLMs cites this paper.

GIFT: Games as Informal Training for Generalizable LLMs Seed-Coder: Let the Code Model Curate Data for Itself

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T11:39:36.744095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:39:36.744095Z digest=sha256:dde4983ca124a11c14b0bce905cbb288cf118a11866b2f44dae99ce53fd56f2a

Observation 222d9566-53a6-4a53-bd59-ae1209a54692 · inbound

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation cites this paper.

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation Seed-Coder: Let the Code Model Curate Data for Itself

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T03:59:45.686201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:59:45.686201Z digest=sha256:c1c187067eda2f518bba442d96fd62074692ce0286ae1cae07965ec6b17b198d

Observation a3ae10dc-46eb-4fc9-86c9-8bab786b8b48 · inbound

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels cites this paper.

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels Seed-Coder: Let the Code Model Curate Data for Itself

Reference 19

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unresolved
no resolver link, observed 2026-08-03T00:05:26.684727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:05:26.684727Z digest=sha256:0b2fcc10ae32485c762d1f3d5fe97f4343505602e25f23ce8c42d2f78588a305

Observation fc186263-3433-4733-b249-0ecc0d30cbc4 · inbound

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? cites this paper.

BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing? Seed-Coder: Let the Code Model Curate Data for Itself

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T19:12:54.878500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:12:54.878500Z digest=sha256:cb6a815a3418000d9df59612f531b88da27e00685b378e10a52854dce3f3e583

Observation eaec2863-bbd7-44e4-9fe2-3212a03f0968 · inbound

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization cites this paper.

AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization Seed-Coder: Let the Code Model Curate Data for Itself

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:20:00.087467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T10:16:15.305706Z digest=sha256:50f12b895139db62ccf3d7282dde4facffb22182f96c7762445bb4c96007efb0

Observation e3c9083c-7ce4-4801-aaf2-c097aa86eb5c · inbound

InCoder-32B-Thinking: Industrial Code World Model for Thinking cites this paper.

InCoder-32B-Thinking: Industrial Code World Model for Thinking Seed-Coder: Let the Code Model Curate Data for Itself

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:58:08.684766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T18:56:31.975626Z digest=sha256:c63cafc621c9abe01d954350fe6382dd78878f889cf854fa068df35f9f39e642

Observation d7c58229-9e65-4b2c-8244-d685a48a10aa · inbound

From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation cites this paper.

From Imitation to Discrimination: Progressive Curriculum Learning for Robust Web Navigation Seed-Coder: Let the Code Model Curate Data for Itself

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:56:05.931036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T15:14:47.273826Z digest=sha256:19d6f7562368399355fed43a4949f9b0ca368e7d5470b5fd920dffc4c04ea6a7

Observation af8a249e-bf0a-44df-8c1f-c5f82a9186b9 · inbound

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution cites this paper.

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution Seed-Coder: Let the Code Model Curate Data for Itself

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:01:25.396575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T18:00:39.404711Z digest=sha256:343b587c7b0368221f515b7a369d2ec865516b87649fe5137f1042d128bb5898

Observation 9d489acc-500b-48fa-ae9f-9bfb8d34a238 · inbound

AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation cites this paper.

AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation Seed-Coder: Let the Code Model Curate Data for Itself

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:26.002464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T08:27:56.130579Z digest=sha256:f3392568c6ee246950c87f454bf4fb95cb2e7e38c86ef01fced72352cc24f7d2

Observation a1e5a962-789d-4e75-baaf-c5dbd0930d27 · inbound

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing cites this paper.

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing Seed-Coder: Let the Code Model Curate Data for Itself

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:05.645924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T02:35:55.075730Z digest=sha256:29cf8ee93442b0d554a78ee8266e54c3bad1f6fc9b42c609f10581c970ebad84

Observation 622b8da7-17f6-47ac-a476-7445290db276 · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Seed-Coder: Let the Code Model Curate Data for Itself

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:16:26.304021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T06:05:24.395798Z digest=sha256:ea8dfc746508905296dd19abb98009c10f4291dbf1cb781f39683ca763ded5e0

Observation 862c64d6-cc85-477b-bba3-4bbe1e2c4e18 · inbound

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation cites this paper.

Uncovering Business Logic Bugs via Semantics-Driven Unit Test Generation Seed-Coder: Let the Code Model Curate Data for Itself

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T05:26:33.860244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:26:33.860244Z digest=sha256:61a9eb9d379d27f98f495a2966ae31f3b0e7a20690634bde14039b1278c6309c

Observation aa3e1082-eeca-4808-9017-87f4c540c343 · inbound

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study cites this paper.

How Does Chunking Affect Retrieval-Augmented Code Completion? A Controlled Empirical Study Seed-Coder: Let the Code Model Curate Data for Itself

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-08T17:28:42.037616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:26:49.023109Z digest=sha256:652a65c2c82eed733657b4d63b9d64c337d7468285ada39c2259dba48f167f53

Observation 0beeace0-4f93-4759-a3f4-eefb3ffb04f5 · inbound

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.

Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Seed-Coder: Let the Code Model Curate Data for Itself

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:26:04.525950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T17:37:51.790000Z digest=sha256:24036d58fbff1a016bf51f96227c92717ca2599f7df48be06bb298bde1eb321d

Observation d637683d-b0e7-47a8-b4ce-9159ac85742e · inbound

Mellum2 Technical Report cites this paper.

Mellum2 Technical Report Seed-Coder: Let the Code Model Curate Data for Itself

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.484161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T22:58:35.397914Z digest=sha256:60573a192d47d0ad48aeab10c28d338cb820c813246bf01b0a5ed30dd33a3c5a

Observation 5d67b67a-6cc5-4ff2-8563-bd34ac975ce2 · inbound

CODEBLOCK: Learning to Supervise Code at the Right Granularity cites this paper.

CODEBLOCK: Learning to Supervise Code at the Right Granularity Seed-Coder: Let the Code Model Curate Data for Itself

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T08:17:45.504544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T10:52:00.147391Z digest=sha256:9bd3baa0a150001c1bf92e8be1ad01e7503402d43384f05f8ca17fe7897954de

Observation a7dcc4dc-2654-4806-9803-c89acbf756a4 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Seed-Coder: Let the Code Model Curate Data for Itself

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.877382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:c88ab72767f6c149cce7903d7150a011e931461b8c558064a30fdaad11c7ac1a