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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:12.190326Z digest=sha256:3aa2fd674c7603e6234227c6eeaee61713c2153961246f85a4162063f3ba86f0

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:f8301673607f0a70a4c70dd3dd7677db6c78705c36767006cfab92f6edfecebc

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=sha256:9a86d150f136f3d69e4a87fb3b6be7c80397a3ed9746ce0d5ed82f01470a5958

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.426719Z digest=sha256:a87da8257962b73adc90f59e00542881457784c4306a38b45b436575c66e9852

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=sha256:26ab2e7c3f043613e5e7c199f679d13974be8cc4c9de646dd0af2b88ba31bbe0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.559472Z digest=sha256:744c653dc37e17ea420f9386d2d78606794492277f4031a6aef75c12967a5da7

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.629092Z digest=sha256:c4df3ba9161884a8bb41997d42d415dced6afa1500f5b0b4bfa18bd113cb6611

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.716348Z digest=sha256:101f937274784db5a60c83192b15eb142e68aec18167ac86f11d829f5664f555

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.769838Z digest=sha256:a3e293f02516135d4e97b6c5558f6a5a6c7650e90b4c6afd36b2d915c226fbbb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.837054Z digest=sha256:285e0ef2494820dcc87ce20dd8731a8d501aca105785189194365b6d697cdbb6

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=sha256:403cc34e23877f11c07e9def5988600ad81e87d52c37b3979439c90682ba5b80

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:12.957999Z digest=sha256:4e61104d06e1c37524162b0c94ca8540065827846e8554d3bda0eaca821a8c78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:13.017359Z digest=sha256:ae2eb8e4bae4ff6861b3c12289a638d956e2490b43c484354197fa4be09f434e

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=sha256:2f98ed7b94584ccf481784eac2cc1ba4f68d9e6690749ec635c981c6341d5f9a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:13.158816Z digest=sha256:5002663cd6d9ee671ac5574096d2a71bf2cf8b9537f2c3814c24e65d8648add5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:13.394393Z digest=sha256:124cbed2b54f883e00969df24dbad8ef7b9531d0a971ccd3faeb69aeb7029070

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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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:13.583806Z digest=sha256:9f1612b5530684e0c81dc89c772f95c5ab348177da22df76fc6f9be4f09d9044

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:e394e7774bec3e26322376e53097b22a2bf6517b7fca5a762eab7d143f91e2e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:13.845847Z digest=sha256:0ce8d6edc1d50792d2b43033281f73e1a0d2c48fa9562592e3d5819bc692f714

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=sha256:705ae39bb846c72b019b32664d3f81eadbf0d4a5f9c877a69c888f1667b5de37

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
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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=sha256:39d72f3668551e0915f835cd10c7cdbfa5a848c06eb661e9704b6fcbff8f94ed

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:c9cad9bf5f3c1a5c51999ac970f9cc02ccc3da92d8ddec2783cc92ffa1dfcfde

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=sha256:87a4f9ce6bd08f14edc5c20df42605b773d721bd51cba88a9a18fe8685e66cb6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:14.477512Z digest=sha256:addba8ae6b97a86262c6677caaeb619bf68b76a44b069932aa3dcbda632234af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:14.640883Z digest=sha256:f0b5d473667a1059f33c5012d102c54fc753b0c6d2ee22a8a2144fd08b330757

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

Resolution
unresolved
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:abab950f4e486b91e5ceece75117c7a73d21a6c76293e99b717beeca014212a6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.038719Z digest=sha256:0c6af7dcf8c0411cddf9189c80d6dcefccfb7555b73356eb7b89b2ee533a6e03

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:c20f1d7951a9d3890d830dbe6e343d17e8c2abe25187c1063cda68b9e6585ffb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.327467Z digest=sha256:05cdb8b752a27f011e62d2c4af9433ce3a367f67c7ddeac5abbd9fc524bcd8b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.459471Z digest=sha256:3d4ffccce79b1ce33707999be11c5bda947f1b9c8979e5378b9110cae984486f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.586037Z digest=sha256:ce9f35c9803a8225989e9e29ece2d0187abbb39d68de9520060313146ed44c8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.708668Z digest=sha256:9487ef68f68248d5486d9df383cea9dcd0452e3ae783d7683f46fc562b517f03

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

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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=sha256:7cded38c281fb59f67878abfc093f54eac0992629542ba0004c483cc5522a4c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:15.951130Z digest=sha256:d12e2efc2aeca30881ac41f6e6f7fb41b98681e3d7453c271e74463a638f2ce3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.048011Z digest=sha256:cd7a658041bf91c16c789a183e10a48fe253382f9939e4c6ff148c058efaa03d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.161730Z digest=sha256:70d62d46973858a9ee4ff6f9ee3067f2d8dcfaeb0dac6f477327f2b6e26d5afe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.282875Z digest=sha256:7596c4c102935a569fbe5ead0b41d1bf80aa79d040ae359be2fd9e6a0b97b461

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.375580Z digest=sha256:28be13216a199f2cb703938ad75951f445dd95b6f490d6ab09ea9623789c19ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.458411Z digest=sha256:e1e9e63bd0144bd7ff1029af728a24ef5963f5452de9b42a4aa95bfea0a09667

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:29:16.555761Z digest=sha256:61cf01f8969e4b1bdf389e6ed0c059a5f64ad142bd4d0647b4cbeb4d546310a3

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:e1cf4757bb78f528159b2d69fe5b82500fb134e96fec282b81af9d6d626442b0

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:c01f9cac8fce72d834d58c55216c8089d61691333342db8f44f379b7690a0ddd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:20:43.092561Z digest=sha256:a630c63048c25d493339d2ab046106f472a7e7de330c79b8fc83347cbde04714