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Paper Citation Record · LEDGER

ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00053.

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

pith.paper-citation-record.v1
2411.00053 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:12:58.333530Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:06:58.959170Z

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 5cb5f25c-4895-4e1c-b7b0-8109771efe23 · inbound

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs cites this paper.

How to Train a Leader: Hierarchical Reasoning in Multi-Agent LLMs ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:12:58.333530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:12:58.333530Z digest=sha256:e13b3d7979c152561e76e1e4034f33027f600537fde5143c16cf5780bbfd58d1

Observation 2a5951de-3eb9-4ba5-b7fe-4f4f195c95dd · inbound

Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs cites this paper.

Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:26:24.479220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:10:03.459912Z digest=sha256:b8548b4138fb5c9686e12d8b947aae3b5f86b7811417609dc4a6c22899c82a50

Observation d9a416ed-e131-41a4-9ca1-dc7ac95de5c0 · inbound

AgentNLQ: A General-Purpose Agent for Natural Language to SQL cites this paper.

AgentNLQ: A General-Purpose Agent for Natural Language to SQL ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:43:12.532196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:41:17.671666Z digest=sha256:0380a461b21c8a057da275500aa8b9cd8a5d6996c1180c7b5d65e614e9869592

Observation 6ce9f459-3fc5-4861-9a3e-613074e9a92a · inbound

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures cites this paper.

CAF-Gen: A Multi-Agent System for Enriching Argumentation Structures ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:58.960502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T01:37:06.028099Z digest=sha256:d70c4724f61da0b9fd76b95278ad0b58cc7ae8f2f0ba1226006cfc7359015922

Observation 10154be1-82a5-4d29-9960-ad2dbd5f5b61 · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T00:32:24.252046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:32:24.252046Z digest=sha256:7fc8cc4e5329ced0066787868544974a0683ca1e001fc9f93e556f0088f1c735