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Paper Citation Record · LEDGER

SWE-Bench-CL: Continual Learning for Coding Agents

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 8 inbound Pith citation observations for arXiv:2507.00014.

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

pith.paper-citation-record.v1
2507.00014 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:57.664764Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:22:06.295438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:56.811585Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7607d32d-05a9-4a68-baab-be65290258c4 · outbound

This paper cites Program Synthesis with Large Language Models.

SWE-Bench-CL: Continual Learning for Coding Agents Program Synthesis with Large Language Models

Reference 1

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no resolver link, observed 2026-08-07T04:07:55.669709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:55.669709Z digest=sha256:45df5c07101788b62675392afcc3d71a7e7b466b22f40f48a588f7df2b506f20

Observation 27a736a1-b0b6-44ce-a52f-3fa20f76fb0d · outbound

This paper cites Curriculum learning.

SWE-Bench-CL: Continual Learning for Coding Agents Curriculum learning

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:58.766560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:55.726487Z digest=sha256:1e0e3bba9e9b013cd4abe5683d55a52768bad6a769fe5e7e7fccdcb13273ee6f

Observation 1969fe31-add3-4540-81cb-ccfb50e57d2a · outbound

This paper cites Dokania, Thalaiyasingam Ajanthan, and Philip H.

SWE-Bench-CL: Continual Learning for Coding Agents Dokania, Thalaiyasingam Ajanthan, and Philip H

Reference 3

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no resolver link, observed 2026-08-07T04:07:55.814371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:55.814371Z digest=sha256:0673d4f689bb025473ce3f6e2da1352138ca1f4b31ca73ec71fd86e4ebe20f14

Observation 342be030-8cdc-4eb7-bb69-236d38972b55 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

SWE-Bench-CL: Continual Learning for Coding Agents Evaluating Large Language Models Trained on Code

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:07:55.917483Z digest=sha256:4f5e55b3a8a133aa8568fcfca7de20f2ca65c25ba365ced991118cee85111cd3

Observation 8bbb6cec-3bb2-464d-a395-bdeafe2ffd13 · outbound

This paper cites DeepSeek-V3 Technical Report.

SWE-Bench-CL: Continual Learning for Coding Agents DeepSeek-V3 Technical Report

Reference 5

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no resolver link, observed 2026-08-07T04:07:56.009717Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:07:56.009717Z digest=sha256:f4dd6a47ca15ec40c0b90130c53cc916010a7d41b5383ed79219e2b2c1e686e0

Observation 6767de3e-2d6c-4b9f-8443-c26739c498c0 · outbound

This paper cites A continual learning survey: Defying forgetting in classification tasks.

SWE-Bench-CL: Continual Learning for Coding Agents A continual learning survey: Defying forgetting in classification tasks

Reference 6

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no resolver link, observed 2026-08-07T04:07:56.095594Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.095594Z digest=sha256:86d7a58b7e03ea8bad37d22100a526c96cb8e722908ee2249759425394f1c02f

Observation ecf68962-c0a5-4fae-90e7-acc783703a3d · outbound

This paper cites The faiss library.

SWE-Bench-CL: Continual Learning for Coding Agents The faiss library

Reference 7

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no resolver link, observed 2026-08-07T04:07:56.154599Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.154599Z digest=sha256:f325dec8d31eed99af95d8a9c5feff23ebe242c970d99a76ab4545fdec4f9772

Observation 59fe5751-b898-44ab-9bad-66ce2b6d9e6c · outbound

This paper cites Gemma 3 Technical Report.

SWE-Bench-CL: Continual Learning for Coding Agents Gemma 3 Technical Report

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.242237Z digest=sha256:9edb18b0fc906f99303d613aeb97fbe14482f3008370d6739bbb36184aa5290c

Observation fbfd6dae-9233-4059-8763-be0ce4510659 · outbound

This paper cites How does a brain build a cognitive code? Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control, pages 1--52, 1982.

SWE-Bench-CL: Continual Learning for Coding Agents How does a brain build a cognitive code? Studies of mind and brain: Neural principles of learning, perception, development, cognition, and motor control, pages 1--52, 1982

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:58.656410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.300992Z digest=sha256:de9cd55c2ca30f4ca05e3bf36f87b52cb09b56ce9fcb30607012ec8595df9395

Observation cee5eb1a-b55b-4378-9698-a2880ae8456f · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

SWE-Bench-CL: Continual Learning for Coding Agents CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 10

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no resolver link, observed 2026-08-07T04:07:56.382752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.382752Z digest=sha256:86ffcfb381d24b472c8fda5261c5a5184f39a7a9009cfd023b093ebca62d8e4f

Observation d60b16d1-11e9-4fd0-88ba-e5c9778efdf2 · outbound

This paper cites Mistral 7B.

SWE-Bench-CL: Continual Learning for Coding Agents Mistral 7B

Reference 11

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no resolver link, observed 2026-08-07T04:07:56.468654Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.468654Z digest=sha256:c8de5a36bab9cf9f75a2577b3f449e3093a4e4e90831ac2a10c60c1e183ffa92

Observation c3306d80-53e6-4a7c-881f-9b407f3d9f85 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

SWE-Bench-CL: Continual Learning for Coding Agents SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 12

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no resolver link, observed 2026-08-07T04:07:56.557901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.557901Z digest=sha256:dae00008a4b6a99add80a88007b1be175436830621ba0b172f6c9aa9a3fbf404

Observation 3d3ef5a6-ba1a-406b-b526-46e5098297f9 · outbound

This paper cites Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks.

SWE-Bench-CL: Continual Learning for Coding Agents Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks

Reference 13

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verified exact
local_arxiv, observed 2026-08-07T04:07:58.088333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.616659Z digest=sha256:90bf6aaa2ceb384cc1540fe9a13b1641ad9a0d5f32060a94893c355ce22eb11b

Observation a11f3bc0-90a9-45b7-8f9f-98c37cd23f1a · outbound

This paper cites Langchain-ai/langgraph: Build resilient language agents as graphs., 2024.

SWE-Bench-CL: Continual Learning for Coding Agents Langchain-ai/langgraph: Build resilient language agents as graphs., 2024

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:58.549409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.734123Z digest=sha256:db8e8f6297929841aeaa3c4e490a80cc8a2843a19c5e41413d6d7fc28bb620a6

Observation c587eb86-343a-4982-9002-bbb6b6663b19 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

SWE-Bench-CL: Continual Learning for Coding Agents Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 15

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no resolver link, observed 2026-08-07T04:07:56.846589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.846589Z digest=sha256:2cc768a676e8ec118d6be2181f83f53a66f720debdabb0b4bc6ca99de1eaa5bf

Observation c9bb6f08-cddc-435a-8e5c-f8a4a7169ef3 · outbound

This paper cites Generalization of Medical Large Language Models through Cross-Domain Weak Supervision.

SWE-Bench-CL: Continual Learning for Coding Agents Generalization of Medical Large Language Models through Cross-Domain Weak Supervision

Reference 16

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verified exact
local_arxiv, observed 2026-08-07T04:07:57.938928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.932113Z digest=sha256:7c6e347e314fadbdfb3fc94c951b1d56bf79044bab77c5858209102fb52ee999

Observation 35026be8-2282-48c9-a1e4-cd65fd6cd377 · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

SWE-Bench-CL: Continual Learning for Coding Agents Gradient Episodic Memory for Continual Learning

Reference 17

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no resolver link, observed 2026-08-07T04:07:57.008044Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.008044Z digest=sha256:edde730528b8c055732dd3aa00351a7426c34eac1f3ba65537e58c87008e7a9d

Observation 3d2fd605-d07a-43d1-baae-09145624c388 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

SWE-Bench-CL: Continual Learning for Coding Agents CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 18

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no resolver link, observed 2026-08-07T04:07:57.052431Z

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source=arxiv_source observed=2026-08-07T04:07:57.052431Z digest=sha256:eab459ac79f3f09a015f202a4201156fe36d8efde08fd73755da6bab74458742

Observation 1be87d94-d33d-4168-8395-1ba6bbf78039 · outbound

This paper cites The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects, 2013.

SWE-Bench-CL: Continual Learning for Coding Agents The stability-plasticity dilemma: Investigating the continuum from catastrophic forgetting to age-limited learning effects, 2013

Reference 19

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no resolver link, observed 2026-08-07T04:07:57.139406Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.139406Z digest=sha256:e7a8be07dd81603f0e9acade1118af0a89f074f7c01a9ef2a9baf02bc6d5a290

Observation 9818b54d-bddb-4608-8e0d-94d1c663b521 · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

SWE-Bench-CL: Continual Learning for Coding Agents CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 20

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source=arxiv_source observed=2026-08-07T04:07:57.223238Z digest=sha256:d4b305e5427316af9401c9812d35e00972d0b853b792204b93d25cbc65496785

Observation 8faff816-88b5-4194-8efd-126bc925c51a · outbound

This paper cites Nomic Embed: Training a Reproducible Long Context Text Embedder.

SWE-Bench-CL: Continual Learning for Coding Agents Nomic Embed: Training a Reproducible Long Context Text Embedder

Reference 21

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no resolver link, observed 2026-08-07T04:07:57.307865Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.307865Z digest=sha256:f067edbde3c900504cc645d79cd617ec1da2d2a7f665551fb969efdfeb398a16

Observation 638baa40-26a8-4bf9-baef-b2332411d3a7 · outbound

This paper cites Introducing swe-bench verified, 2024.

SWE-Bench-CL: Continual Learning for Coding Agents Introducing swe-bench verified, 2024

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T04:07:58.434589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T04:07:57.366375Z digest=sha256:0aac5e3ac9b0e95468f4b54ef49926b26166896eedf5ed0991557ecd6aac3b5a

Observation 2f1929bd-e93c-4d25-9994-76e74ed0f4b7 · outbound

This paper cites Parisi, Ronald Kemker, Jose L.

SWE-Bench-CL: Continual Learning for Coding Agents Parisi, Ronald Kemker, Jose L

Reference 23

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no resolver link, observed 2026-08-07T04:07:57.415119Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.415119Z digest=sha256:8aebc21a55271cbc37131283de6e14828c71b4f3b9fab17e15d6f7d93c75142c

Observation 0d9a029e-1042-482e-9355-13258b1092f8 · outbound

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

SWE-Bench-CL: Continual Learning for Coding Agents Code Llama: Open Foundation Models for Code

Reference 24

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no resolver link, observed 2026-08-07T04:07:57.482330Z

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source=arxiv_source observed=2026-08-07T04:07:57.482330Z digest=sha256:8357d7157ae64449ee28bf474581d812cd192e48c5ca10b932d0a17b1b75ffa5

Observation d708ba17-ac16-4aa5-aaf0-b9ddef5e96eb · outbound

This paper cites Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

SWE-Bench-CL: Continual Learning for Coding Agents Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

Reference 25

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no resolver link, observed 2026-08-07T04:07:57.545237Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.545237Z digest=sha256:d66192bc4fcaeb26838959391913dcbad9ac811302a859461f86310cfbef5756

Observation 4f78ced7-714b-4250-b935-038e96b02b8e · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

SWE-Bench-CL: Continual Learning for Coding Agents SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 26

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no resolver link, observed 2026-08-07T04:07:57.608623Z

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source=arxiv_source observed=2026-08-07T04:07:57.608623Z digest=sha256:528e6d6afcfebcb471673f55858dd11ee94e322572cae3e3b935f17487b25be5

Observation f651a481-e334-4a52-8e30-0837a0e8e296 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

SWE-Bench-CL: Continual Learning for Coding Agents ReAct: Synergizing Reasoning and Acting in Language Models

Reference 27

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no resolver link, observed 2026-08-07T04:07:57.664764Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.664764Z digest=sha256:fe3b307358e13ed771f10b8dba795f2cc3e66f71892b7d7f6d9319b00a611f7a

Pith citing papers

Observation 462edeeb-0a52-40cc-a8b0-d4beafe2c673 · inbound

Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering cites this paper.

Agentic AI in the Software Development Lifecycle: Architecture, Empirical Evidence, and the Reshaping of Software Engineering SWE-Bench-CL: Continual Learning for Coding Agents

Reference 21

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verified exact
arxiv_id, observed 2026-05-12T08:56:26.708711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-07T13:26:26.648410Z digest=sha256:55e7d06fdd0fb5a0fd0a86ee7dff6d79bf05b7f6898a678cf719290dc9434fee

Observation d13326c9-851b-4192-820a-0bdc0a92e90c · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation SWE-Bench-CL: Continual Learning for Coding Agents

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-12T06:31:29.378170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:a3649addf6f1f8ee6014daf2c4bd93a7eaf6c103cc52ffa6ae4a58c665c5e152

Observation 0c17bd16-22f4-40a9-9326-002876de3e6c · inbound

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents cites this paper.

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents SWE-Bench-CL: Continual Learning for Coding Agents

Reference 8

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arxiv_id, observed 2026-07-01T22:56:20.161417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T14:52:49.244423Z digest=sha256:e04ba6c94bb8261ac05ec63307071d418cc94fe9c6758c46b77cecb7638ffe4f

Observation 72bb6765-3527-4588-8244-e580453b68f2 · inbound

Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments cites this paper.

Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments SWE-Bench-CL: Continual Learning for Coding Agents

Reference 20

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metadata mismatch
arxiv_id, observed 2026-07-02T12:56:56.813121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T01:45:28.693098Z digest=sha256:d8ceb1c3138771801b90516e40bd8a80a491897cddc2da46917133112c2dd90e

Observation f905cbc4-778d-4e6c-959f-270bebe203e3 · inbound

How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests cites this paper.

How Do AI Coding Agents Contribute to Software Development? an Empirical Study of Agentic Pull Requests SWE-Bench-CL: Continual Learning for Coding Agents

Reference 57

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source=pdf_text observed=2026-08-01T06:36:21.568767Z digest=sha256:e910e9329ab1821cad37328a11eb508668469b916fb324e37c221ed0e0a32cc7

Observation 2ead6313-900c-43a6-b827-a8bef0e34b13 · inbound

ExplainBench: Evaluating Code Explanations from Agents cites this paper.

ExplainBench: Evaluating Code Explanations from Agents SWE-Bench-CL: Continual Learning for Coding Agents

Reference 14

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no resolver link, observed 2026-08-01T15:36:22.472361Z

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source=pdf_text observed=2026-08-01T15:36:22.472361Z digest=sha256:e58a16bbf5f97e5c266308282f22d4dd81efe8b0e500541a7eab8ffe25f5618b

Observation c33a2d7c-f2ac-41fb-b4ae-ec2060d98aa9 · inbound

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents cites this paper.

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents SWE-Bench-CL: Continual Learning for Coding Agents

Reference 119

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no resolver link, observed 2026-08-10T23:01:35.819782Z

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source=pdf_text observed=2026-08-10T23:01:35.819782Z digest=sha256:dc34c9a5cc021887e8eb63d4d649fa631912c9c1a7a33b711159f10b1d6c8a71

Observation 52579452-5708-4f05-af3c-7a008f6d7ac7 · inbound

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph cites this paper.

MEGA: Self-Evolving Agent Optimization Infrastructure via Wisdom Graph SWE-Bench-CL: Continual Learning for Coding Agents

Reference 12

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no resolver link, observed 2026-08-15T14:22:06.295438Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:22:06.295438Z digest=sha256:40585e379ed8cc848ff87876bc25fd146f6fda4fdc40a2e8d5a04d6eec5dd699