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Paper Citation Record · LEDGER

Flows: Building Blocks of Reasoning and Collaborating AI

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2308.01285.

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

pith.paper-citation-record.v1
2308.01285 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:22:40.654953Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:16:42.445650Z

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 da76f972-046a-41d7-b90e-3dc1cfb7edcc · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey Flows: Building Blocks of Reasoning and Collaborating AI

Reference 222

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:22:56.047603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:6ba51452c0b875f92a44306d8a4770815169af93efdf5fff15f7b01f2b86a165

Observation f5cbddfa-e96e-458c-9ab1-0e64525eb3d7 · inbound

Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.

Large Language Model-Based Agents for Software Engineering: A Survey Flows: Building Blocks of Reasoning and Collaborating AI

Reference 105

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T12:35:48.573122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T12:35:48.170947Z digest=sha256:c6e6ae7b56e0c29c4d88e3370907fa3a60253833f21c86e443543c7655a25c80

Observation 8a0c4285-4f16-4b1f-94b0-d069a62ba0e8 · inbound

AIRA_2: Overcoming Bottlenecks in AI Research Agents cites this paper.

AIRA_2: Overcoming Bottlenecks in AI Research Agents Flows: Building Blocks of Reasoning and Collaborating AI

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T23:08:14.605835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T23:06:39.545404Z digest=sha256:2cd7eddc3b0b6d3ac44dde24c2e8e652a752955e1cfba2edcd5b39585ac41a27

Observation c3c9f51b-313c-4855-8516-5b1ad8ef1af5 · inbound

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search cites this paper.

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search Flows: Building Blocks of Reasoning and Collaborating AI

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:06:05.630968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T02:19:18.121220Z digest=sha256:e39c5a2e62bf025a76eacb0fcc0e8f4dabac345b24a0f80c96605338fa8cc638

Observation 59d80827-a9dc-42e6-ad49-8f805d7aec82 · inbound

GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving cites this paper.

GraphFlow: A Graph-Based Workflow Management for Efficient LLM-Agent Serving Flows: Building Blocks of Reasoning and Collaborating AI

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:21:13.092360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T07:18:27.003144Z digest=sha256:155a62d1b811f8cea0d42c4163141a0edfb9b3c5ac367b703ae2444a2f9e367f

Observation d40c5d29-6345-429c-8f2f-a05357e826d7 · inbound

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows cites this paper.

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows Flows: Building Blocks of Reasoning and Collaborating AI

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T02:16:42.446862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T02:15:50.014951Z digest=sha256:d1d13249e1ba41965ef7a6bfbabcd7003a4ebe9c4579441c3769bdf4825930c0

Observation 720ae99e-3b8b-43c5-a70c-a327fede9319 · inbound

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering cites this paper.

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering Flows: Building Blocks of Reasoning and Collaborating AI

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T05:22:40.654953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:22:40.654953Z digest=sha256:9469ffb2c728ecfde45860fa4c84be2af3448b46c188c0f0df56882e624b5fb7