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Paper Citation Record · LEDGER

Language Agents as Optimizable Graphs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2402.16823.

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

pith.paper-citation-record.v1
2402.16823 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:27:32.169860Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:27:40.545965Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 f3721202-a668-4fa2-81a1-eedc7ab15246 · inbound

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration cites this paper.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration Language Agents as Optimizable Graphs

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:05:25.968969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T21:05:25.809179Z digest=sha256:7399ff1bb477293a315df30baadb7e6a2a03200ff49cc4b8ae9f286615c7fa19

Observation 69edfa56-4142-4216-b2fd-67649704055c · inbound

Memory-Augmented Agent Training for Business Document Understanding cites this paper.

Memory-Augmented Agent Training for Business Document Understanding Language Agents as Optimizable Graphs

Reference 66

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no resolver link, observed 2026-08-11T13:27:32.169860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:27:32.169860Z digest=sha256:daa9ba0c997d08dba1831629eaccf40ac475c5eb7cc8718d9ab29c9a930906a8

Observation 4ebe7805-4e46-4558-b13a-eac666afbb9f · inbound

Flow: Modularized Agentic Workflow Automation cites this paper.

Flow: Modularized Agentic Workflow Automation Language Agents as Optimizable Graphs

Reference 32

Resolution
malformed identifier
no resolver link, observed 2026-08-10T20:37:40.476105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:37:40.476105Z digest=sha256:338b7cd91debf30872c79620f82bfcae010dd115a78c6b0f1698c29b00c3d474

Observation 0a9f4bd4-4e2f-41c8-899a-88ec2d8a95a0 · inbound

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System cites this paper.

Bridging Literature and the Universe Via A Multi-Agent Large Language Model System Language Agents as Optimizable Graphs

Reference 22

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unresolved
no resolver link, observed 2026-08-06T18:12:39.729351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:12:39.729351Z digest=sha256:268d5ee92f528e0e2682264edc34b9fb170e1dc3a580120fd1eed65bdfa27a54

Observation cce25671-f081-433d-a384-3e46d69ddd93 · inbound

Graph World Model cites this paper.

Graph World Model Language Agents as Optimizable Graphs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T17:37:11.837113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:37:11.837113Z digest=sha256:11526712f077bc38e31bf2bd8a24231ddbe681efa57ecb617f0303c87c38d659

Observation 2be9b05d-161b-443a-ae3e-eabad0f588b8 · inbound

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models cites this paper.

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models Language Agents as Optimizable Graphs

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-21T20:40:35.652238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T20:40:13.721163Z digest=sha256:9dddc8c31ac395b91a253c871664847308e7bca359d38a9a6ba4809585904c0b

Observation 9f1856bb-b1e3-4eba-a430-5f6da23da761 · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T20:17:53.466265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T20:17:53.466265Z digest=sha256:ceb58e0bf8a0f689331aa9e339b9d0abb941b83dee47d730d3dff9707c9750db

Observation 9316d8ec-242f-4bc2-b58d-2e09a02d3d0b · inbound

Latent Collaboration in Multi-Agent Systems cites this paper.

Latent Collaboration in Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-04T06:52:33.636145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:52:33.636145Z digest=sha256:7ed881ecfdd798ca9cb22631f2e8f0bcbf6bec3e83203dda289b3633a75dffaa

Observation 412c3700-c5d3-4992-a6bd-a15b1305be32 · inbound

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems cites this paper.

ValueFlow: Measuring the Propagation of Value Perturbations in Multi-Agent LLM Systems Language Agents as Optimizable Graphs

Reference 32

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unresolved
no resolver link, observed 2026-08-03T03:17:25.021493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T03:17:25.021493Z digest=sha256:61bf1e07e31d70afbc2ff0d848f57338ff83d0edaa27f2720a661e10f69e0ec3

Observation 88c1360d-58e0-4991-a6e0-c0b03a7f7662 · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 108

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:14.460939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:58:14.460939Z digest=sha256:f100c5387e06d4eaab519fe0f1f302fdbea65d8082494ec0a8c1aa52c9f8eadd

Observation 7195f635-e8d6-4222-b9b1-b1f26c3e49c5 · inbound

Learning to Interrupt in Language-based Multi-agent Communication cites this paper.

Learning to Interrupt in Language-based Multi-agent Communication Language Agents as Optimizable Graphs

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:25:53.732225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T19:08:45.818851Z digest=sha256:4f6938c50aca162e5352a7f0d33a327c7c7277f937aceac880943df3c08f6eba

Observation 8dadc6c3-5b82-4c2a-b830-34d96d38b268 · inbound

Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows cites this paper.

Characterizing Performance-Energy Trade-offs of Large Language Models in Multi-Request Workflows Language Agents as Optimizable Graphs

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-15T12:30:00.258254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T12:28:38.809950Z digest=sha256:b50a66d84f29e3412a456a6f9e4b510ebcd24daa9a2f839ce4c8e2542ad9716c

Observation 9f3d6f66-0688-46cf-b55e-7c32e60b1687 · inbound

Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation cites this paper.

Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation Language Agents as Optimizable Graphs

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:09.769875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T11:55:43.558721Z digest=sha256:d5752d79e75bb2580c86130026a1cd0e5380923a243ecc9ec43bf2e1913a7022

Observation ea1dab9f-c23c-4b65-b3c1-951bf86203bf · inbound

TeamBench: Evaluating Agent Coordination under Enforced Role Separation cites this paper.

TeamBench: Evaluating Agent Coordination under Enforced Role Separation Language Agents as Optimizable Graphs

Reference 5

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verified exact
arxiv_id, observed 2026-05-11T05:00:55.493472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T00:55:51.358828Z digest=sha256:486f29a28203bfdc57c4f14f5ca5b4b9e420114f62e895c6d1073e1fc2027576

Observation ff31cc33-5ccc-475a-9b17-8eeda9c1c651 · inbound

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems cites this paper.

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:27.459570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T01:19:49.062330Z digest=sha256:47c778732eadd13b7bb40ae73594a276e81fec597135b060c6afec961e16bc5f

Observation f5b72905-7e0d-4289-a66e-8002092362d1 · inbound

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems cites this paper.

AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:25:03.858003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T05:24:54.265411Z digest=sha256:24029fc6724b57daeb0cb45ec8d140f5eed4fedb5ae17297cf50732dee6cfcd6

Observation a1b32c1e-a707-4618-abd2-ef075bd731f5 · inbound

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows cites this paper.

AgentCo-op: Retrieval-Based Synthesis of Interoperable Multi-Agent Workflows Language Agents as Optimizable Graphs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:09:46.402726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T07:05:28.416552Z digest=sha256:f8ec1b0f04e857bcdc5ad89e7ec07db6e33ff9ceeee136f73388ce9842c476f7

Observation 00cc6aa2-2965-4f10-b6f5-84a0fe5ac3a4 · inbound

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation cites this paper.

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation Language Agents as Optimizable Graphs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:43:25.731022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T12:39:00.460842Z digest=sha256:72dbf74bdd59a8f884c08613e10308b226e39b94ce35cc682879f7f23508e24a

Observation 06cfbb80-0fcc-4511-a42c-107c099d39bd · inbound

Self-Harness: Harnesses That Improve Themselves cites this paper.

Self-Harness: Harnesses That Improve Themselves Language Agents as Optimizable Graphs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:37:30.804821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T16:25:59.583722Z digest=sha256:898e61d66b5e29610c4467ca0982478153069a10ce66a6b2c08274caf270c03e

Observation 3819017e-4cc1-4cb9-b878-3b2fc8489f74 · inbound

Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries cites this paper.

Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries Language Agents as Optimizable Graphs

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:27:40.547519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:10:23.450482Z digest=sha256:d857b95c18ec1bd094da56299dd75e26ada6dcb19123dda80f2845c1c207797a

Observation 8c966511-9b92-4a25-84b7-7c2a472b2b78 · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems Language Agents as Optimizable Graphs

Reference 29

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verified exact
arxiv_id, observed 2026-06-30T16:14:53.924426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:0128e00dc5eb3d0002eb88892f88ea81054ecbdd7fca7f551f6e683634029ff8

Observation 3684d2f4-2e0d-4946-9b5c-eb6ce81a16e1 · inbound

A Workflow-Aware Serving Layer for Agentic Applications cites this paper.

A Workflow-Aware Serving Layer for Agentic Applications Language Agents as Optimizable Graphs

Reference 56

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unresolved
no resolver link, observed 2026-07-12T05:56:18.797766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:56:18.797766Z digest=sha256:e73bbe23b29cabf5f163c0a7f2e663fa337a6fe3b77d86a9c99a5f60b42427e8

Observation 8d35ea0e-c75e-43fa-be59-1ce818377a7c · 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 Language Agents as Optimizable Graphs

Reference 64

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no resolver link, observed 2026-08-01T05:22:44.352468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:22:44.352468Z digest=sha256:e6360fcaf2b0fc4bd5ffe91fadd5b322c30d45ec6b8cf22679b19e69aa160488

Observation c51284e5-5956-4170-8c3c-881d461f6ee6 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Language Agents as Optimizable Graphs

Reference 285

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unresolved
no resolver link, observed 2026-08-03T00:55:42.213910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:42.213910Z digest=sha256:a6bdaf529909d6ce210a5499d192bda092ffc2b9251ec03f30c48b7456f1a82c