Pith. sign in

Paper Citation Record · LEDGER

AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.16247.

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

pith.paper-citation-record.v1
2405.16247 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:55:41.380614Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:10.559876Z

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 8056b4fb-a666-4045-a1bb-097288ad86ce · inbound

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training cites this paper.

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T18:22:02.444592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:22:02.444592Z digest=sha256:a7df3c75b2babbe7672ca256703289895a25a23750c8b54bec6317c98ade21f0

Observation 2c4e8457-5087-4387-96ce-9071b2628413 · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T11:20:31.723133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:20:31.723133Z digest=sha256:d75119f3d81a1e768a29775845464631f50f0a9882ed8bd3ced5199e224b3544

Observation a2d87b5a-517e-45ff-8cba-15e4a3d0527a · 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 AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.562616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:518dd493d3eb6c5c9be60c8a54aee04e091f93aebb79f38bc770167aa633cfae

Observation 87be1895-d168-4b9b-b280-af610e1b21ef · inbound

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks cites this paper.

Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T04:55:41.380614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:55:41.380614Z digest=sha256:08da9470fd3df90d082a9fa80a2ac52ac21b7d40fee4b17223cff976bceafc2c

Observation afe7e1cb-b792-4541-b293-422376f0493d · inbound

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale cites this paper.

Divide, Optimize, Merge: Fine-Grained LLM Agent Optimization at Scale AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T23:46:05.479607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:46:05.479607Z digest=sha256:76d3a2677670ad38ea5f42ec006867d89a49cdedb9ac2be74e10f7cbc04dc339

Observation ef3d84c9-7ea5-4f0a-bb91-db8b0067e5be · inbound

PG-Agent: An Agent Powered by Page Graph cites this paper.

PG-Agent: An Agent Powered by Page Graph AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T15:29:41.382727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:29:41.382727Z digest=sha256:6675c3913a93df740903e332f743058468271c3e6a99d473ee66cbc565069586

Observation feecc871-3994-43d5-a226-e4efa786779d · inbound

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents cites this paper.

SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:25.520782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T01:12:52.837729Z digest=sha256:c9be53292f74b090a2ac9670c28526a11c17b5f3cc2e0a7b0307784e9e73144e

Observation 34a7ae2b-2c40-4a49-a9d5-f52dfaeacf92 · inbound

AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents cites this paper.

AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T14:28:54.555297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:28:54.555297Z digest=sha256:311dd1fb83973ada8bb4815de926fff2aab07570587a3d419e789b90c4314ab8