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Paper Citation Record · LEDGER

OctoPack: Instruction Tuning Code Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2308.07124.

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

pith.paper-citation-record.v1
2308.07124 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:11:15.052231Z

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

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4489ccff-d713-4eb1-bb66-6b0c25eb3ec4 · inbound

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

StarCoder: may the source be with you! OctoPack: Instruction Tuning Code Large Language Models

Reference 297

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.464720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:d3de42a021609d8680caa75ef5bec43304f33ae59927badff9978ff5086c782c

Observation 22287d85-a898-4581-9b77-3a4400895d40 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:35:21.298104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T01:35:21.150772Z digest=sha256:fa8127b26cc868b410ac92f27e84b5fccf88579c7af4c63c3933644d0a3cf957

Observation a6b7ac56-4de8-45fb-95cf-95dd8ed80dd7 · inbound

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework OctoPack: Instruction Tuning Code Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:43:19.117007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T03:43:18.632292Z digest=sha256:090fafa48673f66cf4f659df2b21a50c3cf7f7fd54a3a7194dd66549012ebb7d

Observation 92067571-b9c3-4ff1-9888-3719d6fe93a0 · inbound

C-Pack: Packed Resources For General Chinese Embeddings cites this paper.

C-Pack: Packed Resources For General Chinese Embeddings OctoPack: Instruction Tuning Code Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:24:32.240304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T13:24:32.084878Z digest=sha256:5ffe958213294c0951bf368117b9f29aae970f8dc028e5aeb1ee8ce8e3cd71a6

Observation 1de9a932-1f27-4ccc-8c1f-e31dd397af32 · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning OctoPack: Instruction Tuning Code Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:55:59.636361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:db89bcdfa8d619e984a10ac30bf6579fa17df5a030355d443e4fc9b0dbd49d38

Observation 2feab7fc-1ef9-4bcb-94fe-78e8dd149f29 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 191

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.502365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:cd298bf922c6e996e90d79f9c9eae6af3889d2e188c338fa94253b5728b37aec

Observation c58bf130-8a9f-4ddc-911a-4c8c5a4c69fa · inbound

DataComp-LM: In search of the next generation of training sets for language models cites this paper.

DataComp-LM: In search of the next generation of training sets for language models OctoPack: Instruction Tuning Code Large Language Models

Reference 129

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:58:17.133574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T22:58:16.523267Z digest=sha256:852180bcb44e546cf22671fcf5241e68bf6ca3bcf6ab3469575baec575cad41c

Observation 95206c63-0a43-4037-b01f-c6f5b62e52b0 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach OctoPack: Instruction Tuning Code Large Language Models

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.117482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:2d475206e235eaa7d12e9dc6169a7676abc812a8e3d3e37a2701f7b2958da132

Observation b7bf3e00-6532-45dc-9dbf-5e815f731933 · inbound

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts cites this paper.

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts OctoPack: Instruction Tuning Code Large Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T14:04:53.212808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T14:02:23.311597Z digest=sha256:6215377719456189a1ae23674b74101068d1092798e67348e8f4ab63b51831b7

Observation 492415ef-6aa9-4ed9-8aeb-968a3d641bd2 · inbound

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing cites this paper.

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing OctoPack: Instruction Tuning Code Large Language Models

Reference 40

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unresolved
no resolver link, observed 2026-08-07T15:11:15.052231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:15.052231Z digest=sha256:1649085bb7969242497a1dc1586e335ea7ab7d59f4fb4954c2042a733222c4c4

Observation 6f1cdc92-c4ba-4516-8791-f37cc701aabf · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects OctoPack: Instruction Tuning Code Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:00.687938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:56:00.687938Z digest=sha256:270dcb5fb2727cd76ba410b353caae684d3ec6c58a9dd816a6c833c736ea9ea3

Observation caa38319-d09b-47cb-aabd-64f3435800bf · inbound

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries cites this paper.

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries OctoPack: Instruction Tuning Code Large Language Models

Reference 70

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unresolved
no resolver link, observed 2026-08-07T13:23:03.931650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:03.931650Z digest=sha256:1afe0c6d213e42fb982b3509633fccf2d66d48d60eb028f4348a5eb065cdc240

Observation 09a2c6b6-a773-47ed-a7de-bc693cfc080b · inbound

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents cites this paper.

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents OctoPack: Instruction Tuning Code Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:20.081643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:20.081643Z digest=sha256:c27c5fe909314156dd9c4cbefa369b85816dae5dcb51624a99b43b746e73e69b

Observation 93a71e4a-fe8b-4a52-82b8-9f69abb06b3c · inbound

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization cites this paper.

Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization OctoPack: Instruction Tuning Code Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:50:27.026954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:50:27.026954Z digest=sha256:3e80f85b5896c5cd0f8ddef8d0c04e0aebf721a648383fb22ffdcdf9fad5b575

Observation a449005e-46f0-4086-a812-121c7abd423e · inbound

Lossless Token Sequence Compression via Meta-Tokens cites this paper.

Lossless Token Sequence Compression via Meta-Tokens OctoPack: Instruction Tuning Code Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T12:14:28.092042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:14:28.092042Z digest=sha256:4ba7360a1e205f11c1c90dc2f4265dfc78f7a7de80033c32a2863728e7f580eb

Observation 26a151a7-faee-4240-b6ae-28d03c82424c · inbound

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs cites this paper.

AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs OctoPack: Instruction Tuning Code Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:08:31.261257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:08:31.261257Z digest=sha256:884b8cb60d054c073aa3df53da843789d4a24a3db3ef3c67192f58bb991a095b

Observation e1650be8-de48-4a23-bc2e-494b1e5b6e6a · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap OctoPack: Instruction Tuning Code Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:56.772665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.772665Z digest=sha256:c7734ddcc02d85db47a486ee0279ea75db00a1f5da04b8c3d175e2147f1cab32

Observation 49342310-22f1-40e7-bcaa-fc90aa208c06 · inbound

Recommending Variable Names for Extract Local Variable Refactorings cites this paper.

Recommending Variable Names for Extract Local Variable Refactorings OctoPack: Instruction Tuning Code Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T21:23:37.021154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:23:37.021154Z digest=sha256:b4dac431860c516117cbda47490dd7e873114a42e6f0ee914e651c8cff2e6f5e

Observation 79679be1-abd6-413c-9a57-b69ca7794d5d · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:18:55.990650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:18:55.990650Z digest=sha256:4abf138b18def6391e714dce7d35a2c9c206a2f57077c1f2acbf26412c19cbdd

Observation 9bf830d5-07a0-4b7e-ab44-2f2b95e7f915 · inbound

AI-Assisted Fixes to Code Review Comments at Scale cites this paper.

AI-Assisted Fixes to Code Review Comments at Scale OctoPack: Instruction Tuning Code Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T16:29:48.443541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:29:48.443541Z digest=sha256:0df90d55ed1dcb2bfefc95d086888b57c2253c8f88bc17914067e8127eee68c3

Observation 7502a738-afd8-4de6-b0b5-d2ab698764fb · inbound

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing cites this paper.

Applying the Chinese Wall Reverse Engineering Technique to Large Language Model Code Editing OctoPack: Instruction Tuning Code Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-06T15:32:37.673877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:37.673877Z digest=sha256:6020648e3652114b37b9fb2d2f6d62366e3ef60c7bc7388340078dae4494c41c

Observation 392ef389-d935-4858-95c6-9e4b32e5a33c · inbound

Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding cites this paper.

Speculative Verification: Exploiting Information Gain to Refine Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:21:24.225895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T13:17:57.627009Z digest=sha256:f946e5f51871ac9a76de66e0b0af562a8b598168d44ccfe8c42c888e5602e834

Observation f14374cb-7b66-4124-8796-575817bc4054 · inbound

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths cites this paper.

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths OctoPack: Instruction Tuning Code Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:22:33.311036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T10:22:09.037783Z digest=sha256:475d218c92b589205bcda031b210294797192aab4c5f44adb11ac5faf3e65dbf

Observation 5c210ebf-553f-4f21-8342-4f61c02e5626 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:00:57.243653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:0e78b2c758e8ac0c4af85dcb681cfad06dc9803f6d24f2c9969d4bfa1ae910f9

Observation 11060273-2ec4-4bae-9290-a0d477ef911d · inbound

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding cites this paper.

CodeOCR: On the Effectiveness of Vision Language Models in Code Understanding OctoPack: Instruction Tuning Code Large Language Models

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:32:36.456894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T08:30:50.984873Z digest=sha256:30bcee6f13ce9dd559e3316e0f62dec0e29465018d37c1bc87fc421857a5b416

Observation 052fe75b-2332-4867-9b4f-7f9e9b05f959 · inbound

Rethinking Code Complexity Through the Lens of Large Language Models cites this paper.

Rethinking Code Complexity Through the Lens of Large Language Models OctoPack: Instruction Tuning Code Large Language Models

Reference 1976

Resolution
unresolved
no resolver link, observed 2026-08-03T03:32:07.830196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:32:07.830196Z digest=sha256:6275e3bea2bacb9dfb80d2357545c7455a874f91dc427725a9c27230f39ed1ed

Observation 5b6825e4-1b63-4e8b-9527-f4df93681eb7 · inbound

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code cites this paper.

Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code OctoPack: Instruction Tuning Code Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T22:09:51.400538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:09:51.400538Z digest=sha256:358767a099fa9f81784f17b667f0911bb7164a5ea7cec0e535e642aede9eddf7

Observation 859c3a37-7fe2-4eb6-b238-bc22f270b69a · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T03:17:12.482643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:125758461ab402309014b7e95c8cbaa81ecf26f83a0d98823ec49676fac2ec6b

Observation 4fc148b9-45fe-4eb0-b418-8e315c321d07 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding OctoPack: Instruction Tuning Code Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T02:40:56.962516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T02:40:56.962516Z digest=sha256:a693aade1f026da737285b4e1a77e9f4a1cf8dd617f5b092567d1d0d39a34095

Observation 5cf32339-6c31-47f1-ab07-325428dbdae9 · inbound

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals cites this paper.

Enhancing Program Repair with Specification Guidance and Intermediate Behavioral Signals OctoPack: Instruction Tuning Code Large Language Models

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:04.575333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:53:38.227540Z digest=sha256:8640320b6e3b4177435d7543da39682c1b89420a585ba019e88d45fd40e5e96e

Observation b2dcc977-3ec8-4fdb-95ae-abe1f6378859 · inbound

Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative cites this paper.

Mean-Pooled Cosine Similarity is Not Length-Invariant: Theory and Cross-Domain Evidence for a Length-Invariant Alternative OctoPack: Instruction Tuning Code Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:45:59.005145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:05:46.720449Z digest=sha256:23ce325191716dcf0351d208ea893423b1e257084e148e35fbf1468b3ee21b4d

Observation 557f351a-1d7b-483b-ba96-7558a549c74b · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling OctoPack: Instruction Tuning Code Large Language Models

Reference 265

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:08:59.561197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T03:05:36.871497Z digest=sha256:b52e8cf19c1e69354620f17231633dc487ff6cc02bdd37787b8334e26df491aa

Observation 3001ae1e-0a06-4c34-8de4-403f83608013 · inbound

End-to-End Context Compression at Scale cites this paper.

End-to-End Context Compression at Scale OctoPack: Instruction Tuning Code Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:31.605884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T16:36:54.699174Z digest=sha256:2ba6f9604273b73a5a3306663c264f7d886271e7b633ef34615385fd1e1bd9a4

Observation 273396b1-78e8-42a5-b0c3-4a8b9103392f · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes OctoPack: Instruction Tuning Code Large Language Models

Reference 177

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:57:41.431845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T12:59:51.091008Z digest=sha256:759c8cc2b7fc675d1add06713be18b34752852133fca2d3bdd9e84628e184821

Observation f06de5e2-7c1d-4ef5-86b4-9a12ac018658 · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation OctoPack: Instruction Tuning Code Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:34:26.754969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:b84e9edbdbbb421617761adcf5286620d23e06117d41bae74d5f0a4fae0e3313

Observation ea5f674a-ed9d-472c-819f-7df418de6219 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search OctoPack: Instruction Tuning Code Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-30T11:17:16.447310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T11:17:16.447310Z digest=sha256:0f78d6d0cfcf1da6e17a1bb184f1301a9f8a3adc83460ef292448631d52e9e64

Observation 39ca7c3d-1305-40c4-a983-16b481046744 · inbound

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search cites this paper.

DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search OctoPack: Instruction Tuning Code Large Language Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-03T01:43:12.865829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:43:12.865829Z digest=sha256:cf1abdd0022c8d82d48fe725085c6a18896bda2853714187d88987c51a870191