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Paper Citation Record · LEDGER

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning

As of 7 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2604.12487.

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

pith.paper-citation-record.v1
2604.12487 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:00:43.760637Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:21:32.992189Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35b25d4f-b1e1-497b-ad4f-ec0abc8b3a44 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T15:48:34.842623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:035377d2af4b6df2bbc5b09ef6faf7391a887a0322df3d35aa627e0d0f1dca5c

Observation da2e1a19-bdd0-4e7d-8302-ce6a4d5fa5e8 · outbound

This paper cites InFindings of the Association for Computational Linguistics ACL 2024, pages 4275–4295.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning InFindings of the Association for Computational Linguistics ACL 2024, pages 4275–4295

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.754050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:55dde6ef7fb25bba5ca671ab2c1b552f148549e60c7255e2ab4d02208f432b73

Observation 99e7d018-49cf-447c-b9c6-bc4b0e0b20de · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T11:21:01.877345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:b227e6c639caea53e63194b03d22797d69ef18d385d39a1e6318a62c4070f8f6

Observation ae8d8f82-da06-4d18-8a5e-3d013eb8e54d · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T01:36:24.737756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:4bcc2b25bc1b176f60fcb92aac00f4baa6a2294a2d98ebaf9ff5898e846e9ba1

Observation 9b91a723-09d0-4367-867e-33e92c49060a · outbound

This paper cites InProceedings of the 2018 Con- ference on Empirical Methods in Natural Language Processing, pages 3243–3253.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning InProceedings of the 2018 Con- ference on Empirical Methods in Natural Language Processing, pages 3243–3253

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.751442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:c2c05d6ed1acbd844e87134beeaf15e8b2012c2441df4258230d165da2b55ea8

Observation 67ce21fe-4ec4-4f71-9a46-95ad3feb0067 · outbound

This paper cites InProceedings of the 63rd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 15269– 15284.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning InProceedings of the 63rd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers), pages 15269– 15284

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.748214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:995ec12391510e6aaea7113c5f8b6a5ddb4fb55de8d61a1029516bf04284fab2

Observation c7976fc0-5264-41ef-951a-1da5b0581ef1 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:21:01.905518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:c032d2fd037acbe85ca78e9d1cac4ae9317a0615c478106b9b7e822e233da6c8

Observation b2827c06-2a9d-4540-b5ed-b527349dfa90 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:21:01.884997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:ea538adb23d00c2dabb0b7747bc50b9a35e2a882c38466a6da712d1f9ab7b2a8

Observation a098f007-02e3-4867-a6a0-b82b37bd177b · outbound

This paper cites KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning

Reference 9

Resolution
malformed identifier
local_arxiv, observed 2026-05-11T11:21:01.900407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:cda1c65c747d7c3593d6dec58cdcf5d372a06fe18704ccf766078afc9d19b126

Observation b15a18d1-2a7f-4929-998f-5d55d59519ad · outbound

This paper cites an unresolved cited work.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-18T09:42:31.745386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:9dacae82c8651cd1a59d5ddaa3ccc695b2a2f48d81b608914e2d13773caba7e4

Observation 525b0368-97c8-4526-8ed0-2c93e0071c51 · outbound

This paper cites </think>‘ tags.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning </think>‘ tags

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.735974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:ff1ed034ba0514c1bd16e782e128c788776c63d1b9515f5f0d25251a601b426e

Observation 0988fe8b-6640-4e87-8903-d28fb41c4cca · outbound

This paper cites </answer>‘ tags.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning </answer>‘ tags

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.738969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:e7fb9618e4e570490cef9670e4026481d0a20f7048fecd64e52872d5d01eb0df

Observation 198aa749-7c77-4bcb-8560-6905e8e6cbce · outbound

This paper cites * The entity must be related to the question (e.g., a topic entity or one present in previously retrieved triples).

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning * The entity must be related to the question (e.g., a topic entity or one present in previously retrieved triples)

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.742326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:e9030a17f16875f31e642baf817edf2a47939baf493c0598319205e16bdfb89b

Observation 2444e43a-4f51-47b4-8686-cfb2417dc453 · outbound

This paper cites an unresolved cited work.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-05-18T09:42:31.732756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:ae2ce84910e3d5cf7c7ef2e14471d5115012ace38e01234a110c1795e9c48636

Observation 4804c738-3634-483c-ae76-f2736c154d47 · outbound

This paper cites <think> reasoning process here </think> <answer> final answer here </answer>.

KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning <think> reasoning process here </think> <answer> final answer here </answer>

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T09:42:31.729581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T15:00:43.760637Z digest=sha256:d6468b392ebeb7af0da61a64edb4858eecaf41e0254e40599c3d854ddd8d9edb

Pith citing papers

Observation f940f0f2-8974-4be0-aa9c-9bad705de9b0 · inbound

Search-on-Graph-R1: Training Large Language Models to Search Knowledge Graphs with Reinforcement Learning cites this paper.

Search-on-Graph-R1: Training Large Language Models to Search Knowledge Graphs with Reinforcement Learning KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-01T15:21:32.992189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:21:32.992189Z digest=sha256:567fbd177c694da3ae1e4b26bc864e452ae4917fe4ebbb7b6bed8d55493febee