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Paper Citation Record · LEDGER

LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2501.16673.

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

pith.paper-citation-record.v1
2501.16673 v2

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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:25.783053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T09:16:48.986484Z

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 dd225e30-75d8-4088-92c5-dfef1d96f6fa · inbound

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback cites this paper.

LAD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T15:47:11.705992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:47:11.705992Z digest=sha256:f4569e2d5c503db660a5a1238ab0a2e91b56452c7a879ade5199677fa2589f63

Observation 023f7a05-65b7-41b0-9343-6e5c23b81585 · inbound

VeRO: A Harness for Agents to Optimize Agents cites this paper.

VeRO: A Harness for Agents to Optimize Agents LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:06:30.887729Z

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=2026-05-15T19:01:50.547095Z digest=sha256:a4734b26818ff4cc1563eae71637e5fc7cd8710e3cef9190034135ae7d6f1107

Observation e4bbb0ee-640d-464f-85f1-cf253a32d7b9 · inbound

VeRO: A Harness for Agents to Optimize Agents cites this paper.

VeRO: A Harness for Agents to Optimize Agents LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-02T20:45:13.316110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:45:13.316110Z digest=sha256:4c02f96f1664eac0eebed33f9fbbc65f8fa7db592dad1828e16c671891e4b3a2

Observation 4a05b7f6-a79a-4a15-b89f-af2acecbd23f · inbound

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models cites this paper.

Dead Weights, Live Signals: Feedforward Graphs of Frozen Language Models LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:55:57.398449Z

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=2026-05-10T17:53:35.970156Z digest=sha256:a22ad04f9000766cd800998cfb45bf4ad1d1d22fe20ce8e3059b0f8e95fe86f7

Observation cdc7e488-c35f-424b-a262-d0e067529dd5 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:10:23.505093Z

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=2026-05-10T04:36:27.381942Z digest=sha256:083bc2e63796842448c6ee8ef24d1603b880b868b2391c766fa308bcc7998a67

Observation 4f56d710-8ba8-4113-9e7c-1ff584adea07 · inbound

The Last Harness You'll Ever Build cites this paper.

The Last Harness You'll Ever Build LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:29:47.615583Z

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=2026-05-10T00:04:04.444940Z digest=sha256:e302c5be2130ad2f77a21991f37080e3bc5195689e3b26fc2d29b89f5900d81b

Observation 1ec5e178-047d-4d59-848b-8229b92e285f · inbound

VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents cites this paper.

VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:48.987867Z

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=2026-06-28T05:36:59.143003Z digest=sha256:b465553c01af0f2be8ffe8a5ef71e97c46fb2434ea222dece27450e2cb1a2b27

Observation fc3bd319-50f2-4c22-b079-517dfd5d96b7 · inbound

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization cites this paper.

HarnessOpt-Bench: Evaluating LLMs at Harness Optimization LLM-AutoDiff: Auto-Differentiate Any LLM Workflow

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:25.783053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:02:25.783053Z digest=sha256:e5442e6a0ebcdf6c884a3c052e5eae3dd056ece20fc42d46600078d6d87051be