Paper Citation Record · LEDGER

AIRA_2: Overcoming Bottlenecks in AI Research Agents

As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 4 inbound Pith citation observations for arXiv:2603.26499.

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

pith.paper-citation-record.v1
2603.26499 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T23:06:39.545404Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:06:08.437361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T18:40:02.679280Z

Reference resolution

25 of 25 outbound references displayed

verified exact16
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8580ae45-5319-47cf-b9d9-e9d364829c18 · outbound

This paper cites Accelerating materials design via llm-guided evolutionary search.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Accelerating materials design via llm-guided evolutionary search

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.705106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac170024-1fc1-4d57-8ccc-acdc7cb679f6 · outbound

This paper cites What does it take to be a good ai research agent? studying the role of ideation diversity.arXiv preprint arXiv:2511.15593.

AIRA_2: Overcoming Bottlenecks in AI Research Agents What does it take to be a good ai research agent? studying the role of ideation diversity.arXiv preprint arXiv:2511.15593

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.690504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0739371f-63ee-4990-9fba-4b2d42aa13dd · outbound

This paper cites MARS: Modular Agent with Reflective Search for Automated AI Research.

AIRA_2: Overcoming Bottlenecks in AI Research Agents MARS: Modular Agent with Reflective Search for Automated AI Research

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:04:10.539767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 089ce09a-107b-49b8-ac39-6dc699691a10 · outbound

This paper cites Automlgen: Navigating fine- grained optimization for coding agents.arXiv preprint arXiv:2510.08511, 2025a.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Automlgen: Navigating fine- grained optimization for coding agents.arXiv preprint arXiv:2510.08511, 2025a

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:08:14.698189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2eef5273-9539-4eb0-8745-ba2f0806c941 · outbound

This paper cites Simple And Efficient Architecture Search for Convolutional Neural Networks.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Simple And Efficient Architecture Search for Convolutional Neural Networks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.712681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79c6d996-5c89-4c86-8116-0b0390654b6e · outbound

This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.683072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation deebc3e4-c3a0-43c6-8b34-324d0ebc5f72 · outbound

This paper cites Towards an AI co-scientist.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Towards an AI co-scientist

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T23:08:14.676013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55b10c5a-fd68-441e-af98-b118ec20538d · outbound

This paper cites Qwen2.5-Coder Technical Report.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Qwen2.5-Coder Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.529235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 666a60e2-4e58-4097-a2f0-4f36e5b72b8a · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Averaging Weights Leads to Wider Optima and Better Generalization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.647237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c59b9fc3-b929-4689-ac7f-d60149a5303e · outbound

This paper cites AIDE: AI-Driven Exploration in the Space of Code.

AIRA_2: Overcoming Bottlenecks in AI Research Agents AIDE: AI-Driven Exploration in the Space of Code

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T18:22:30.071006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a0c4285-4f16-4b1f-94b0-d069a62ba0e8 · outbound

This paper cites Flows: Building Blocks of Reasoning and Collaborating AI.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Flows: Building Blocks of Reasoning and Collaborating AI

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:08:14.605835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a33e10a-4229-47fc-bf7b-37ee8272d51b · outbound

This paper cites Kurtzer, cclerget, Michael Bauer, Ian Kaneshiro, David Trudgian, and David Godlove.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Kurtzer, cclerget, Michael Bauer, Ian Kaneshiro, David Trudgian, and David Godlove

Reference 12

Resolution: verified exact; doi, observed 2026-05-14T23:08:14.418822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f97ea4c-cb5d-4a40-8097-436669c1712a · outbound

This paper cites The FM Agent, February 2026.https://arxiv.org/abs/2510.26144.

AIRA_2: Overcoming Bottlenecks in AI Research Agents The FM Agent, February 2026.https://arxiv.org/abs/2510.26144

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.588716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0f7490f4-6736-4acc-a2c2-44d4bfbfa56f · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

AIRA_2: Overcoming Bottlenecks in AI Research Agents DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.542424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 301c0128-c994-4f71-a9c7-66cc4a9d540c · outbound

This paper cites ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning.

AIRA_2: Overcoming Bottlenecks in AI Research Agents ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:08:14.613791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7291e785-e164-49c7-a8b9-75c74276f134 · outbound

This paper cites Airs-bench: a suite of tasks for frontier ai research science agents.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Airs-bench: a suite of tasks for frontier ai research science agents

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.597419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5fb5a76-cc41-4e5c-8144-3caa0b9b9bfc · outbound

This paper cites AlphaEvolve: A coding agent for scientific and algorithmic discovery.

AIRA_2: Overcoming Bottlenecks in AI Research Agents AlphaEvolve: A coding agent for scientific and algorithmic discovery

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.563747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9da3fe18-6877-47cb-a403-5ac076aaa548 · outbound

This paper cites Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:08:15.342348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4869a993-1452-4d55-a032-21572371db97 · outbound

This paper cites OpenAI GPT-5 System Card.

AIRA_2: Overcoming Bottlenecks in AI Research Agents OpenAI GPT-5 System Card

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:08:14.628194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73804bf5-a2f0-4d03-af1c-9f352f1ea76c · outbound

This paper cites Philipp Thölke and Gianni De Fabritiis.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Philipp Thölke and Gianni De Fabritiis

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T23:08:15.338217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 861fcf81-11dd-448d-8c6d-758194731df7 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

AIRA_2: Overcoming Bottlenecks in AI Research Agents The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T23:08:14.668661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5349dd48-f2dd-4f12-a907-ba284404c7f2 · outbound

This paper cites Autonomous Code Evolution Meets NP-Completeness.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Autonomous Code Evolution Meets NP-Completeness

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:08:14.554308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d879443-16a6-4dfc-81cd-53962d31501e · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T00:22:11.212173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6444d05-25d9-46f4-a7bd-98bb2b7d92b2 · outbound

This paper cites Toward ultra-long-horizon agentic science: Cognitive accumulation for machine learning engineering.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Toward ultra-long-horizon agentic science: Cognitive accumulation for machine learning engineering

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:08:14.620643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 824909d5-d778-44c4-bef5-0683e6242f7f · outbound

This paper cites winner_model_a.

AIRA_2: Overcoming Bottlenecks in AI Research Agents winner_model_a

Reference 25

Resolution: malformed identifier; arxiv_id, observed 2026-05-14T23:08:14.576850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 3b4ffca0-e497-4b9e-8e22-fa5eeddf3f7e · inbound

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty cites this paper.

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty AIRA_2: Overcoming Bottlenecks in AI Research Agents

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-04T18:40:02.680619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0541b8b1-ad9e-4aa6-97df-bf6afe5d607d · inbound

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty cites this paper.

Heuresis: Search Strategies for Autonomous AI Research Agents Across Quality, Diversity and Novelty AIRA_2: Overcoming Bottlenecks in AI Research Agents

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-02T21:17:23.790260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation acfffa28-44c1-4913-a7d1-c8ee38a5f516 · inbound

Self-Evolving Agent Harnesses via Gated Semantic Quality-Diversity cites this paper.

Self-Evolving Agent Harnesses via Gated Semantic Quality-Diversity AIRA_2: Overcoming Bottlenecks in AI Research Agents

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T04:32:37.844385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 406d1904-4a1c-4d45-9e7e-8b5c58a850d7 · inbound

A Vocabulary for Multi-Agent Automated Research Systems cites this paper.

A Vocabulary for Multi-Agent Automated Research Systems AIRA_2: Overcoming Bottlenecks in AI Research Agents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T07:06:08.437361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.