Paper Citation Record · LEDGER

Aviary: training language agents on challenging scientific tasks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2412.21154.

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

pith.paper-citation-record.v1
2412.21154 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:06:30.848762Z

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

7
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 6e7920a1-695e-4797-93dc-24ae6b7955ae · inbound

MDCrow: Automating Molecular Dynamics Workflows with Large Language Models cites this paper.

MDCrow: Automating Molecular Dynamics Workflows with Large Language Models Aviary: training language agents on challenging scientific tasks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T21:06:30.848762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56ce361-8a2a-45eb-8d23-a8927fe21a17 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Aviary: training language agents on challenging scientific tasks

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:46.053436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50a5f312-afa9-40d9-9b76-5dd7d780d5df · inbound

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools cites this paper.

On the Comprehensibility of Multi-structured Financial Documents using LLMs and Pre-processing Tools Aviary: training language agents on challenging scientific tasks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:27:36.806120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db766b9-ade3-4ec2-8453-57cc00741398 · inbound

URSA: The Universal Research and Scientific Agent cites this paper.

URSA: The Universal Research and Scientific Agent Aviary: training language agents on challenging scientific tasks

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T07:22:09.386977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3aeda90a-29e6-4e03-8d72-c02d391caf9a · inbound

An Auditable Agent Platform For Automated Molecular Optimisation cites this paper.

An Auditable Agent Platform For Automated Molecular Optimisation Aviary: training language agents on challenging scientific tasks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T04:32:28.750648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b61ca15-0057-4c76-b194-c89b8975feee · inbound

CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics cites this paper.

CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics Aviary: training language agents on challenging scientific tasks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:06:32.127790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99fe328a-9b3b-4d86-af92-ed0a54be5500 · inbound

E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing cites this paper.

E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing Aviary: training language agents on challenging scientific tasks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T19:10:12.689040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d48b52-9dfe-463f-8c33-3f149ba91a3c · inbound

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research cites this paper.

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research Aviary: training language agents on challenging scientific tasks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:17:30.244014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7896e850-321c-452a-a97f-f0c6ec688625 · inbound

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research cites this paper.

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research Aviary: training language agents on challenging scientific tasks

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:17:30.142238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 229c5cf7-7a0c-4482-b783-d12eaa20804d · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Aviary: training language agents on challenging scientific tasks

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:56.381216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 80af3eb4-7e8b-4962-bf57-ab6c6f68151d · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Aviary: training language agents on challenging scientific tasks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:29:09.178039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8c23db31-9470-45da-9dda-c40fb2dabac2 · inbound

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale cites this paper.

Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale Aviary: training language agents on challenging scientific tasks

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:05:07.378614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59de4aee-980c-4d86-8e67-3d75fe54d948 · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters Aviary: training language agents on challenging scientific tasks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:47:32.148419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3de6351f-0f16-4b8a-8297-47fca0297a28 · inbound

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters cites this paper.

Auto-Configuring Scientific Simulators with Lightweight Coding-Agent Adapters Aviary: training language agents on challenging scientific tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:23:32.991952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.