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Paper Citation Record · LEDGER

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs

As of 17 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:2506.10508.

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

pith.paper-citation-record.v1
2506.10508 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:29:16.555761Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:58.136807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T20:42:37.950529Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12a0ff83-fa48-418f-86b6-1269cc27e647 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 1

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no resolver link, observed 2026-08-07T04:29:12.190326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.190326Z digest=sha256:58a667fd0229a17c998b5461a36696eb2c90dc7a0a1eeed180a5291e104f55e4

Observation b30eb34a-ac10-4e28-9d48-f6be8d4970c6 · outbound

This paper cites Stanford alpaca: An instruction-following llama model,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Stanford alpaca: An instruction-following llama model,

Reference 2

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no resolver link, observed 2026-08-07T04:29:12.227442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.227442Z digest=sha256:f5bce60132925239399b474055df28e5eaff23517329e2fdfc0440638f599bff

Observation 85da7f02-cac0-471b-a5c6-9ffa30dc141b · outbound

This paper cites Language models are few-shot learners,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Language models are few-shot learners,

Reference 3

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no resolver link, observed 2026-08-07T04:29:12.275494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.275494Z digest=sha256:7d4f58306a6140f7b61b148a768ec72501635d959ee7726be42359ea857e5a92

Observation e726dacc-500e-436b-b652-cade4b386b83 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Palm: Scaling language modeling with pathways,

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T04:29:22.116431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.426719Z digest=sha256:7b91fb01bcb51ead1010d7f228a60e0978c852c31c6eac802eebfadcfea8569e

Observation a1829bd2-0ea7-4c21-a82c-f5abd9ae3b85 · outbound

This paper cites A survey of graph retrieval- augmented generation for customized large language models,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs A survey of graph retrieval- augmented generation for customized large language models,

Reference 5

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no resolver link, observed 2026-08-07T04:29:12.477637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.477637Z digest=sha256:1274f0628ef7f888bb977e1d70037d6f7cf9ad5aa10341eb42c22cf34cb5d530

Observation f3b64f1f-8726-4874-81c9-e78ea5ac12fb · outbound

This paper cites Knowgpt: Knowledge graph based prompting for large language models,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Knowgpt: Knowledge graph based prompting for large language models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.946145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.559472Z digest=sha256:f3a67705c932bde771b924b9b558c8e0d5fc2e28d1a644988c71a254aa0a6929

Observation 593ab10b-38fe-4013-9505-dfc4bc5a2e1d · outbound

This paper cites Controlling conditional language models without catastrophic forgetting,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Controlling conditional language models without catastrophic forgetting,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.805319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.629092Z digest=sha256:4ee1198abfc319ae3f3a9088e46ae1641c6b396c47dfcc988ce3e1cf4b2f9107

Observation 001863ff-914e-4bc0-b6b4-ade06f2c9745 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Lora: Low-rank adaptation of large language models

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.654922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.716348Z digest=sha256:16f2b59b9fd70c93e27a4449b98e7baa561b868086a2c6dbd4be260aa2e73315

Observation 4363ce7b-21f9-496a-9f1c-30eaec5eada7 · outbound

This paper cites Does fine-tuning LLMs on new knowledge encourage hallucinations?.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Does fine-tuning LLMs on new knowledge encourage hallucinations?

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.520313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.769838Z digest=sha256:c06d5cfdc787be1e37874f63ae162256c19daffaa255bb97e1e5264f153f431b

Observation 4267131a-3132-4d06-a5e4-2f5dcdffb589 · outbound

This paper cites Towards a unified view of parameter- efficient transfer learning,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Towards a unified view of parameter- efficient transfer learning,

Reference 10

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raw_fallback, observed 2026-08-07T04:29:21.341495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.837054Z digest=sha256:e1df98b80d0e78cf869c0957a933f6838b5bef542d55196deb1987de929ff582

Observation 4b2fd028-37c0-4c6c-ab57-9838f2817cac · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.906032Z digest=sha256:beb8bd4e4915aab4d9283b1bda0c86eae6383f16af75e30ff94837c544df8548

Observation fa460dc3-1e50-4f43-a6a9-e9e5408b700b · outbound

This paper cites RAPTOR: Recursive abstractive processing for tree-organized retrieval,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs RAPTOR: Recursive abstractive processing for tree-organized retrieval,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.191380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:12.957999Z digest=sha256:577bf046d3990296a7d223941bdd1bddc7230d72a57d0b2825135c8068c691d3

Observation 23c3b4d9-f36d-4df9-85ae-38f737b302e1 · outbound

This paper cites Lightrag: Simple and fast retrieval-augmented generation,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Lightrag: Simple and fast retrieval-augmented generation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:21.009708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:13.017359Z digest=sha256:9ff100165278fccab0730752b7f424e2021e54ee02cf3e8aa68f1e02339e4796

Observation 69bb231a-8518-4202-b27d-13a78712449e · outbound

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

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 14

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no resolver link, observed 2026-08-07T04:29:13.078338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:13.078338Z digest=sha256:87f20b1a1df89e687563f81bced9e8215bbec75a73c3a39673fa2e7d6d8df940

Observation 2c3a58d0-c7bb-4e96-a7d9-7caef26064d6 · outbound

This paper cites Meta-learning with memory-augmented neural networks,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Meta-learning with memory-augmented neural networks,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:20.850570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:13.158816Z digest=sha256:9890abc40801c433bb4ad312c12b1e457f97ea9e927cadaa0f9bff1930cb913c

Observation 7ac6b626-4ec9-4829-89ed-afc958cad61f · outbound

This paper cites Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:20.721245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:13.394393Z digest=sha256:d725579ae1af684928a363049c5246b2f2046ee2466f7cfc817b55ef29e75b32

Observation a573825f-6834-4c6a-b58f-e8aaf20556ad · outbound

This paper cites Reasoning on graphs: Faithful and interpretable large language model reasoning,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Reasoning on graphs: Faithful and interpretable large language model reasoning,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T04:29:20.559849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:13.583806Z digest=sha256:abfaede2b24d97c4577e0134ae6ad62eb863ed8f6e7723890ef2413000807e60

Observation 07d42a24-3374-48c2-8ca5-247063450307 · outbound

This paper cites Kg-cot: Chain-of-thought prompting of large language models over knowledge graphs for knowledge-aware question answering,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Kg-cot: Chain-of-thought prompting of large language models over knowledge graphs for knowledge-aware question answering,

Reference 18

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no resolver link, observed 2026-08-07T04:29:13.755155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:13.755155Z digest=sha256:58344892b7c10a18ebb6702e7fc733c85d2da3d55c360f8486754ff11222875b

Observation b0b11756-a9b4-42f2-82e9-c7134e9f5768 · outbound

This paper cites UniKGQA: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs UniKGQA: Unified retrieval and reasoning for solving multi-hop question answering over knowledge graph,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:20.305610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:13.845847Z digest=sha256:6afdc2622d47738844ce717ae4e0478a613bef8cfe6d18f9a726e7c431fc94ef

Observation 83015c29-a24c-4058-a733-f3b942cd8793 · outbound

This paper cites Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:13.955460Z digest=sha256:2a7351102c30c075dbfed63119a78ff236f302a398433384276415d892f22aec

Observation 83b38b11-3731-4d6f-94f3-6636205811ec · outbound

This paper cites Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:14.005692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.005692Z digest=sha256:7896add4b989084b6d1fe5d0e5010d20715e18b4ccacc14a1e25e0d94e2c319a

Observation 8fafc587-7766-4a5d-8e88-0c3a6a4834cb · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 22

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no resolver link, observed 2026-08-07T04:29:14.136659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.136659Z digest=sha256:7cd11ad30191a2579daf7d707b5443d3cfd735a79c6ed713a36c6090a4fdf56b

Observation 90352d7c-46c8-4204-9032-0b2463b1a2fe · outbound

This paper cites Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Reference 23

Resolution
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no resolver link, observed 2026-08-07T04:29:14.294257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.294257Z digest=sha256:924f4f76281c79e0189064efd715d028956270229709e39cddbd6c1426f4753f

Observation 43425065-da50-43a2-bdf8-928e4b1f18b7 · outbound

This paper cites ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation

Reference 24

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no resolver link, observed 2026-08-07T04:29:14.477512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.477512Z digest=sha256:aec3ab7f3cec83347658c8f4e2737267f4078127264bd0e12d4c6ab061c4a92a

Observation 74a62d45-71c0-436c-9ac9-951cf39e9273 · outbound

This paper cites K-bert: Enabling language representation with knowledge graph,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs K-bert: Enabling language representation with knowledge graph,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:20.015917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:14.640883Z digest=sha256:6c5126ce8c4e7816d16a0115b7995d5f2c96887951986486277057ea8d968e0c

Observation 47c24d9b-a444-4442-bf93-1ec3f53601d7 · outbound

This paper cites Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question Answering

Reference 26

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no resolver link, observed 2026-08-07T04:29:14.829379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.829379Z digest=sha256:3b1296ab574788eba42a06724e5c8995477d17c39530dcf64038f3a64e5a6693

Observation 23c210bf-a26e-4b6c-9066-3b56b341a346 · outbound

This paper cites Simple is effective: The roles of graphs and large language models in knowledge-graph-based retrieval-augmented generation,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Simple is effective: The roles of graphs and large language models in knowledge-graph-based retrieval-augmented generation,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:19.828030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.038719Z digest=sha256:f3fe89b1af263ed516002960d08246a7852cc0ae915f3a00291c7d3484cca296

Observation fa38f905-0a66-447c-ba1a-f53d1e093b15 · outbound

This paper cites Glove: Global vectors for word representation,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Glove: Global vectors for word representation,

Reference 28

Resolution
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no resolver link, observed 2026-08-07T04:29:15.153528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:15.153528Z digest=sha256:dee319cd1e60f1d55bedc902028727415b7d66dab26dbb45433dfa6f2647e90e

Observation ff33926a-7f48-4256-9771-83a2d816d5b6 · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs The value of semantic parse labeling for knowledge base question answering,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:19.599920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.327467Z digest=sha256:12b99fc2c67bbba11ade7ee69c598575aff3918f02fc428a7f711dbaa3703977

Observation e3cbb2f7-aadb-4758-b73b-b53a81758b50 · outbound

This paper cites The web as a knowledge-base for answering complex questions,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs The web as a knowledge-base for answering complex questions,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:19.313376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.459471Z digest=sha256:ae2b4064c41104272ddc9d06556bf465e1e450443f8cf217644e33dd71231cbb

Observation 345243dd-2872-4e73-993f-77e69e296bf3 · outbound

This paper cites Key-value memory networks for directly reading documents,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Key-value memory networks for directly reading documents,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:19.090999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.586037Z digest=sha256:2aa35ebd9b10f8bd5f7ac9c0b86783e9783995aa6a5227623a7094f0980951bd

Observation 5cfed643-9189-4fa2-8b90-673c9ece1dea · outbound

This paper cites Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:18.823580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.708668Z digest=sha256:c1290d3a0b8b40d9bf0c8090d775082008bf7c781e827d930baad0a5255f616b

Observation e3c37a3b-66f4-4a7a-b5b2-ea19f67aa9fe · outbound

This paper cites Improving multi-hop knowledge base question answering by learning intermediate supervision signals,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Improving multi-hop knowledge base question answering by learning intermediate supervision signals,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:15.836915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:15.836915Z digest=sha256:aa3a9152ae762218b0f275c66f6908cef0af0ee7c3d1e610b7cb096955f0d8fc

Observation 8b75553b-c366-4b72-b122-fe42cbef96b4 · outbound

This paper cites TransferNet: An effective and transparent framework for multi-hop question answering over relation graph,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs TransferNet: An effective and transparent framework for multi-hop question answering over relation graph,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:18.564636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:15.951130Z digest=sha256:94ed38e097d2ba54f66ed6ec150a7876929b2792cc85dcdb96d4078fbd865bd4

Observation d644bbc9-8d38-40db-9448-cb35a3775bcb · outbound

This paper cites Sequence-to-sequence knowledge graph completion and question answering,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Sequence-to-sequence knowledge graph completion and question answering,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:18.355539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.048011Z digest=sha256:72176782ffd9bcc2f4a0793f640cef371916190323b91c1f448e9f2f1b602e8d

Observation 5fd960e9-7cee-4a31-bf1c-7ce4a6dd601d · outbound

This paper cites Open domain question answering using early fusion of knowledge bases and text,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Open domain question answering using early fusion of knowledge bases and text,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:18.093514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.161730Z digest=sha256:c9ed5e6c01f1ac2dd0dc9fb9d040a524ca7535ae5884ace0d6a1d16f9f80e718

Observation b1b2cf70-d42d-4ef3-99ed-c48322ee3604 · outbound

This paper cites PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:17.820712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.282875Z digest=sha256:40e8c3beb6b76c21e1a95cd06c89de19537067940a681677e69e4900e8161aee

Observation 26b0319f-cc0a-4d05-93f1-7e14806a43ac · outbound

This paper cites Subgraph retrieval enhanced model for multi-hop knowledge base question answering,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Subgraph retrieval enhanced model for multi-hop knowledge base question answering,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:17.596719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.375580Z digest=sha256:1e94772e36753002ace171b8c6f0af4116b2aad2ab98badad66776fd3d190948

Observation 2344d195-663d-4771-883c-487bb2f021c9 · outbound

This paper cites Scaling instruction-finetuned language models,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Scaling instruction-finetuned language models,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:17.351417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.458411Z digest=sha256:c2389b761255cebbecefe7bc50602a821596916952b881dfef3e7fd43a0507c5

Observation fa9b5988-37c9-4fbd-b802-678a5c3d230b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Chain-of-thought prompting elicits reasoning in large language models,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:29:17.129314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:29:16.555761Z digest=sha256:3950bb2d6fb2229e5e93ee382a240912bfee9d9486f92c547279b329ed808363

Observation f91329b6-ba4f-4696-ba26-b03146ddf9e1 · outbound

This paper cites Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf.

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs Available: https://proceedings.neurips.cc/paper files/ paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf

Reference 1901

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:12.346861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.346861Z digest=sha256:c2547200e525c21ee563b59e27cfca42e56def95e3233370627a014f4f77754a

Pith citing papers

Observation 6890c562-a059-4908-a82a-b5907a26120f · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:58.136807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:58.136807Z digest=sha256:9da461f973aefc1516349bc67fc98fe88226e592ec849cf7fb6e09d2539e856e

Observation 3b87efb1-4a93-45a5-abc9-2a35d5cd10e2 · inbound

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation cites this paper.

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-28T20:42:37.951845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:43951b8cbd9b9ec58af34638dd6c1361907633806f5805dbddd3639a4dd418ee