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Paper Citation Record · LEDGER

ATLaS: Agent Tuning via Learning Critical Steps

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.02197.

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

pith.paper-citation-record.v1
2503.02197 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:48.461379Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:10.912619Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d35de0ec-2ce5-4772-a12d-2164c5bb4815 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems ATLaS: Agent Tuning via Learning Critical Steps

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.915364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:8d6f483e04aa985abca09a3e2fd956641873d80ffe879be19883ac4922ee9772

Observation 84cfe1d2-0b4d-4f22-8fa9-e6bc399ca847 · inbound

Exploring Expert Failures Improves LLM Agent Tuning cites this paper.

Exploring Expert Failures Improves LLM Agent Tuning ATLaS: Agent Tuning via Learning Critical Steps

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T12:18:48.461379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:18:48.461379Z digest=sha256:20d8841b2de2ab58ac58339d2e27bab53a636d8c13622d15b3f91fb237c33113

Observation 94163552-bf16-4192-bbc3-114f830c16f4 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey ATLaS: Agent Tuning via Learning Critical Steps

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:52.743399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:52.743399Z digest=sha256:549f3b1fc7ea727e211ac82a168a7ecaf003857618c369e3256d03ebc8f41bbf

Observation 99f36378-7a71-4759-bb22-6d3a003d6774 · inbound

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution cites this paper.

SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution ATLaS: Agent Tuning via Learning Critical Steps

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:03.483028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:03.483028Z digest=sha256:6917a64588fdafb617297685e16244a413b09aa40b599eb455d45640093313bf

Observation 1a300b7a-ed28-4d95-bd59-4a1301c417b2 · inbound

Agent-Environment Alignment via Automated Interface Generation cites this paper.

Agent-Environment Alignment via Automated Interface Generation ATLaS: Agent Tuning via Learning Critical Steps

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:31.081493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:45:31.081493Z digest=sha256:937ec935d8bc5007a24b53f751a84b367615bb4072ad714d789fbf0a13cc3d87

Observation b763eec3-89ca-48e6-9524-5d6cd3493157 · inbound

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

Deep Research Agents: A Systematic Examination And Roadmap ATLaS: Agent Tuning via Learning Critical Steps

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:56.560821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.560821Z digest=sha256:9eb05f319b275317e1cf3a8b4f403922e156d1c1d8229f0ab10c4bf3066d011a

Observation febc73ab-b7d9-42e1-9fb6-6c1cc19d2ae6 · inbound

SAND: Boosting LLM Agents with Self-Taught Action Deliberation cites this paper.

SAND: Boosting LLM Agents with Self-Taught Action Deliberation ATLaS: Agent Tuning via Learning Critical Steps

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:19.688593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:47:19.688593Z digest=sha256:fae67988ed4996a9995d148ed149d6a693f715f5cd9de9742cd75c25712eada0

Observation 481542fe-7e65-45c0-82fa-5407d094ee38 · inbound

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner cites this paper.

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner ATLaS: Agent Tuning via Learning Critical Steps

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T18:12:33.578209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:12:33.578209Z digest=sha256:f3eed151928c77abd0dbcbaf6a7a639cb8655849e18b7a2f61a55211cc369a68

Observation a2032254-9900-4d09-a479-56845208ee84 · inbound

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories cites this paper.

Agentic-DPO: From Imitation to Agentic Policy Optimization on Expert Trajectories ATLaS: Agent Tuning via Learning Critical Steps

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T10:33:54.851493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:33:54.851493Z digest=sha256:4337c6f7adffe5ba7ad6cfb710f52feba3ad54a75dfcd172a06cc4ebfa2ac76d