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Paper Citation Record · LEDGER

Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.17822.

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

pith.paper-citation-record.v1
2405.17822 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:53:29.979294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:24:08.440788Z

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 249ef4b0-11a7-4e78-9787-9f6d96a56fab · inbound

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations cites this paper.

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T18:53:29.979294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:53:29.979294Z digest=sha256:763ae11c51dad6eb870f1884f9eb6957fb547973a64921ba02f4d084cd986bf2

Observation 92c9a00e-a579-4354-a0a7-145138c403cc · inbound

FairReason: Balancing Reasoning and Social Bias in MLLMs cites this paper.

FairReason: Balancing Reasoning and Social Bias in MLLMs Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.781541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.781541Z digest=sha256:420e6fda507d495f6acaad346ef522e7b1ff3a509f4c8e3d801581e8e0bbca38

Observation 7d953f70-da50-44d8-913c-25ea686208ab · inbound

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety cites this paper.

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T04:17:10.574459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:17:10.574459Z digest=sha256:c6eb980948f0e4f7f970781003829a7e63dc2b4e11ce46dc19a6c28a8819c5e5

Observation 760925ef-0f4e-49cf-b9c2-1c7883b7cc31 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T05:11:22.496787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:11:22.496787Z digest=sha256:8f9d9cf44500314e966bf0ee43b2b738cded6a83f165ef0f21b0a204c2bffc68

Observation 3df9b2a9-ce92-4559-ab0e-bcdd9c86ab64 · inbound

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations cites this paper.

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:24:08.442687Z

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=2026-05-21T11:23:26.852673Z digest=sha256:413ab52cae2f64afeb7cf9109815498bdec9e8e38b4289dfe1b0f9029d1a5942

Observation e85e88f7-de5a-4ee5-be83-9e1b68d520e2 · inbound

Extending LLM Context via Associative Recurrent Memory cites this paper.

Extending LLM Context via Associative Recurrent Memory Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action

Reference 56

Resolution
unresolved
no resolver link, observed 2026-07-14T04:23:21.000846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:d924c0b3297003f2015438bd175ec857f6b3e305e79c000482cb1491c210a7d8