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Paper Citation Record · LEDGER

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.18922.

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

pith.paper-citation-record.v1
2501.18922 v4

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 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:26:46.484024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T17:03:41.313798Z

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 ffe60a13-d975-4626-b162-91bb26d59ab2 · inbound

KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering cites this paper.

KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T17:26:46.484024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:26:46.484024Z digest=sha256:88f2626ab1378ef1999a8af068f0c5beb00de8368c62b14888ee18c18e1fd881

Observation c5ae99a8-63c9-4825-b7df-a3e3380baf52 · inbound

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation cites this paper.

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T03:59:44.717990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:59:44.717990Z digest=sha256:82f5fd9c478da8c084167ee015ebdadcc1ab9a4b898a4bddf61371197ac30e3a

Observation 3e8f5f77-7645-4118-8e02-44a35d615754 · inbound

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems cites this paper.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:22.342963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T22:35:18.954951Z digest=sha256:32f59a39c452c1e2461fefbc37723cfab676e8a2c143e25c519268da175460e3

Observation 97f6f639-7562-4001-bcf8-c326540fc686 · inbound

GAPD: Gold-Action Policy Distillation for Agentic Reinforcement Learning in Knowledge Base Question Answering cites this paper.

GAPD: Gold-Action Policy Distillation for Agentic Reinforcement Learning in Knowledge Base Question Answering KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:23:15.984070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-29T07:24:15.836046Z digest=sha256:59e057e114782fd4214251877ac5ae70e9973e2aee80cdb61a0860ed0977cdd4

Observation 10d83a3b-8a09-4afa-9948-992e002b367b · inbound

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents cites this paper.

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-29T17:03:41.315494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-29T16:55:21.649886Z digest=sha256:40ed2398d77c260a358dc922a28ae6edf625b16fae9990a121e640c0d436c775