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Paper Citation Record · LEDGER

SWE-Bench-CL: Continual Learning for Coding Agents

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 6 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 33 of 33 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:36:22.472361Z

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:c78b21bf6541d76a6d5f70a58c6cfea36d73802286259339ce1d923bd439ffee

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:55.726487Z digest=sha256:e6bf2eb182632799f3458e7f7c80a6b68dc0c649ebb1a66b0054945f0cd04e61

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=sha256:658027fa4a8c1a284ebc941c8c01bb64206180c8bbc5c1f4b1f0f25a1112270e

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=arxiv_source observed=2026-08-07T04:07:55.917483Z digest=sha256:1918976bf40c050a02bef89409471c6d80f46b31ebf3110abed92f6b6947afd9

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.009717Z digest=sha256:1c4a5dc0fd44371252e003e0a255db5dc5cce70af1d13c2024a4cc23cd3e84dc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.095594Z digest=sha256:9f4fc9f7a77f86b3d9bdb7c9e5734a301221316349e84bb140a9903b1c45af8a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.154599Z digest=sha256:deda929420e2a11c39e7d5ea6178760c17d902981a5ee5a941552de0e027aa51

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.242237Z digest=sha256:6d971d8f9aaaefcfec6363b3f4b3310a17dfd940ead18f741445254be8763266

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.300992Z digest=sha256:1929b0645df445369017f3a21ed05acc48e31cd01782ea7d390cc392ecf91497

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=sha256:5befdf931a4f6ccc05ccc8361051e807789048f67ff7f7554b6ea854cd46521f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:56.468654Z digest=sha256:8f52144670d7608581fd867f4e9f70dee602574bde0430b3116952d2545daebb

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:acc29521df7b1e2acb391a71b80146c2f5111f32661db559d25b1390cbdff65a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.616659Z digest=sha256:2ace58dd8dcc9cdb7e3cb0e7d418ef01fdee7266e9aff4bb2ddc4db85bc21a1e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.734123Z digest=sha256:62d987d4397e731f0439f6e1f3bf4a9bbed3ffe6daa26378ae473e538a783398

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=sha256:6f0807aea7bc37e070d0136317173fbf6a6d09afd371200685208785a6b94ba4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:56.932113Z digest=sha256:a47373da91f64c6793febd69e867684fb68aa7925645641659b4f7834841a169

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.008044Z digest=sha256:9d434db9a03a159dfaa64c7738d30705f35b28674feb11a853b014cb1488f63f

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=sha256:2fccf2f612c977fe06b4a8dc2210d85c378c19f38cf0700462b4e3e76d80465e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.139406Z digest=sha256:79b4fea1d03ee63d7ee9736a0087d9b06f9567bc877579a5f310c493bb5e1005

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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no resolver link, observed 2026-08-07T04:07:57.223238Z

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source=arxiv_source observed=2026-08-07T04:07:57.223238Z digest=sha256:b26a0f461e25c90be8c312c2e8421a7f18484ea18fcec4391a242c76c197d372

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.307865Z digest=sha256:773518d602ffad852e885ecb132f92c8e19b7bf4a31e0b7bc2e648e15a9722ed

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T04:07:57.366375Z digest=sha256:d7e6894508da841701afdea0fe9f572ee50141b51985427ca948f145e9bd8956

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=sha256:650413dcdb212a34bab1fcdc6cefa018d4fd4ec489f2a585dca9bf5efbbbbfdf

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=sha256:634f435e00eab130c6420adde4f036d42330ecc6fe999131c2461077981295c3

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=sha256:452e6269afaa68ebeb7d3cd888c16f5170ddae69fed4a9cddecf375549881403

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.608623Z digest=sha256:ba5c4a135cbc962afcf8b99d35dc14f981d4b57cd9f92fca4e47841f9193e1a5

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=sha256:1654cafd81251573a3cd461c411b0bd4be4029bd4f6d022e25aea259940ea9c5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T13:26:26.648410Z digest=sha256:029418b08dfc7b510320393b3d87c2590decadf42dedde992c6b9ee0b337054f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:2a80b745beef128dd4431ec766db6fd0879aedafa7fb9cdeb0f3d7eedbd739e8

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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metadata mismatch
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T14:52:49.244423Z digest=sha256:153f1b8e1a17e1574ab07707c47be7722c7f40a177ec96ba754916d071e4e0b7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T01:45:28.693098Z digest=sha256:a09e68355713c063fbd3ce37e850bf7d0770653d9aa93102289d1343a5dbf719

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=sha256:302b6da9dcdb3a785613f25c376f29b7e74d6317cd594237e0b30b8f64283ab5

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=sha256:7c55b5cf3e7f9aa065361cf0c518be53b39fa244786bfeee87198b8dea96512a