Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.16218.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:25.649833Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:39:30.783853Z
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 0f7a0bab-b325-4aed-bf10-a1e17af7dd32 · inbound
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:21:23.193228Z
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 ba241145-2577-46f8-aa81-c3e50cd1029c · inbound
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces cites this paper.
Shepherd: Enabling Programmable Meta-Agents via Reversible Agentic Execution Traces Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T22:25:06.774418Z
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 9bb546e7-1886-4910-b1df-ded240f37b84 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:07:18.400455Z
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 f74077c8-4448-4435-ad85-d5964237d666 · inbound
Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.
Learning, Fast and Slow: Towards LLMs That Adapt Continually Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:19:45.511166Z
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 75ccd0cc-4644-4ef2-bcd3-8055773098ea · inbound
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization cites this paper.
MOCHA: Multi-Objective Chebyshev Annealing for Agent Skill Optimization Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:13:05.293872Z
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 b55b14e5-aa67-4d81-8a0a-210bc2c47031 · inbound
Diagnosis Is Not Prescription: Linguistic Co-Adaptation Explains Patching Hazards in LLM Pipelines cites this paper.
Diagnosis Is Not Prescription: Linguistic Co-Adaptation Explains Patching Hazards in LLM Pipelines Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:54:42.008874Z
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 657eb882-d2a1-4de6-b922-b61e4475fab6 · inbound
SPEAR: Code-Augmented Agentic Prompt Optimization cites this paper.
SPEAR: Code-Augmented Agentic Prompt Optimization Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T21:43:59.769526Z
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 711cd5cc-80fc-4640-938c-7b6c89530213 · inbound
Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution cites this paper.
Marginal Advantage Accumulation for Memory-Driven Agent Self-Evolution Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:39:30.785893Z
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 7e24c6bc-e978-4394-a654-b4a3c2cfc91a · inbound
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization cites this paper.
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:02:25.649833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.