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Paper Citation Record · LEDGER

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.06364.

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

pith.paper-citation-record.v1
2404.06364 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:31:41.401033Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.291051Z

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 4041790c-e3da-41d8-9a08-43baa22db693 · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T13:31:41.401033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:31:41.401033Z digest=sha256:20fa91af70ba1e7ae54353ddc7436d3a7109e92a5d98237d495217efdbeca6b2

Observation da8c7d2f-da3d-4060-b1ab-d90fe9923a1c · inbound

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research cites this paper.

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T16:30:31.101369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:30:31.101369Z digest=sha256:20aa771f6445e46bdafd93faf6ab6a3c4ff40bfd7aab12fe1737d466efea6ccc

Observation c61bf344-26e4-44e6-a928-ea003b82edd9 · inbound

PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration cites this paper.

PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:13:16.100819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T07:53:20.566935Z digest=sha256:752c56246454cac4fa3e62c16e581a167cc0d67caab656c79152760af7f457a3

Observation a21b815e-c15a-4966-9e79-6fb1454da942 · inbound

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams cites this paper.

PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams SurveyAgent: A Conversational System for Personalized and Efficient Research Survey

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:27:22.292947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T20:28:04.322480Z digest=sha256:20feedde4104bb6a309e0af87d7d43e1bceeb8338dc4ec9a94f271cd8054f5e7