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Paper Citation Record · LEDGER

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning

As of 12 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2608.07905.

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

pith.paper-citation-record.v1
2608.07905 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:47:48.648554Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy24
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0d2ef7b-364e-4d66-b04f-60f0462db2ae · outbound

This paper cites VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning VLABench: A Large-Scale Benchmark for Language-Conditioned Robotics Manipulation with Long-Horizon Reasoning Tasks

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.475113Z digest=sha256:9bb38ef66948463aca64ee2ed29b68f5638f34d366530cfa26a7a8a7dcbe1716

Observation 097511db-190b-4f7e-8bd2-a90f9e37e9d7 · outbound

This paper cites Online Continual Learning For Interactive Instruction Following Agents.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Online Continual Learning For Interactive Instruction Following Agents

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.479233Z digest=sha256:d9414b621b585199282788b13b9477653eab41842c9770b2e366ce7de691aa11

Observation f08937cc-b295-4d44-b2b2-66d90af0f2d7 · outbound

This paper cites Realfred: An embodied instruction following benchmark in photo-realistic environ- ments,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Realfred: An embodied instruction following benchmark in photo-realistic environ- ments,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.299953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.483300Z digest=sha256:785ced2e886faaa3f01650289a2a9e21b58285ac67ea0e06eb9add998682c686

Observation 4aceb509-dd17-4f70-8f1c-9035a34f0944 · outbound

This paper cites CookBench: A Long-Horizon Embodied Planning Benchmark for Complex Cooking Scenarios.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning CookBench: A Long-Horizon Embodied Planning Benchmark for Complex Cooking Scenarios

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.486961Z digest=sha256:26b94b29d62cf4afe80c4d3a763f97db5f734259e8b163f593094895cca1a34c

Observation ff889581-33ff-4bc6-b911-d5d92e7f1e10 · outbound

This paper cites Episodic transformer for vision- and-language navigation,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Episodic transformer for vision- and-language navigation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.287451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.490925Z digest=sha256:10ed81354ec02465a7fea707c6e5fbb2fbc287571979e354a551eb397a86f93f

Observation 9b2fd8d0-111a-40bf-bf0b-052e3e872603 · outbound

This paper cites Look wide and interpret twice: Improving performance on interactive instruction-following tasks,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Look wide and interpret twice: Improving performance on interactive instruction-following tasks,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.276738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.494194Z digest=sha256:cb569aab711721267e2186960ff015df314deb763202d5dd7329bd7c5d3e6c45

Observation 261e35c5-8818-4eb4-ba0e-c06c54249edc · outbound

This paper cites Spoc: Imitating shortest paths in simulation enables effective navigation and manipulation in the real world,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Spoc: Imitating shortest paths in simulation enables effective navigation and manipulation in the real world,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.255065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.501457Z digest=sha256:0e4ecb2c2c06943c17621babd0eebd27d65735418d1d65c963e04e0ff420b395

Observation 19897148-1787-4388-9560-2298d77a535c · outbound

This paper cites FILM: Following Instructions in Language with Modular Methods.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning FILM: Following Instructions in Language with Modular Methods

Reference 8

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no resolver link, observed 2026-08-12T00:47:48.505126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.505126Z digest=sha256:caea8229934ade3834570e1808d50a9f2ed7bfd723e35ce0b6da57958d1d8a8a

Observation 3ed32068-53fd-4fe5-b5fc-aefbfdfd90f9 · outbound

This paper cites Multi-level compositional reason- ing for interactive instruction following,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Multi-level compositional reason- ing for interactive instruction following,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.243112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.508888Z digest=sha256:06043daec7e971a7f69d29422d7c4e0a13b8f37b7f68be39389bfd519a050106

Observation 96d588f2-abab-42cb-8691-b49ed2a0e5b1 · outbound

This paper cites Disco: Embodied navigation and interaction via differentiable scene semantics and dual-level control,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Disco: Embodied navigation and interaction via differentiable scene semantics and dual-level control,

Reference 10

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raw_fallback, observed 2026-08-12T00:47:49.232017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.512206Z digest=sha256:aae4c9d95d593b60cc6526a5f34fbdd7ae53a955c809b83e8fd92e31f356ced6

Observation ce783213-92ad-4999-a78b-b8dc0fdcf13c · outbound

This paper cites Multi-modal grounded planning and efficient replanning for learning embodied agents with a few examples,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Multi-modal grounded planning and efficient replanning for learning embodied agents with a few examples,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.220293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.516021Z digest=sha256:44c1158c8ffb6b93b8c49da67bae1b7f4c437c857184a29e9e4ee44a47285cb3

Observation 9211e4e5-769e-4daf-8915-e15f3c6ea373 · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 12

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no resolver link, observed 2026-08-12T00:47:48.519648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.519648Z digest=sha256:d24c93f2bde7d1d352a4dbcf6c6931e3f779dc5a9a7e40a4f761e9aa49fd84a3

Observation c8d4faaa-b1d5-44dc-b4e2-70b1d7e05ae6 · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Progprompt: Generating situated robot task plans using large language models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.209319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.523776Z digest=sha256:d93acc8b711c01e6da5e8112924aae017d4998c3ee7e295607a812440a110b08

Observation 41ea833f-6e46-4057-a296-2890e5da0bd5 · outbound

This paper cites SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.527188Z digest=sha256:06e518b3a40e9bad50fa4d64e383ec4e84d9eeffca47c7f4c4832a3c709c67b2

Observation 01061845-751c-4e3a-967b-be16511eb7d8 · outbound

This paper cites Retrieval- augmented hierarchical in-context reinforcement learning and hindsight modular reflections for task planning with llms,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Retrieval- augmented hierarchical in-context reinforcement learning and hindsight modular reflections for task planning with llms,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.198102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.531206Z digest=sha256:958b61864757f2412ae0039063d707b875618a0536db29946596e043bf0a1770

Observation cc713381-aa14-43c9-ba4e-d6625d3b38c3 · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Llm-planner: Few-shot grounded planning for embodied agents with large language models,

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.534462Z digest=sha256:8c2be91bf99eb27b2120e034e6030b803e1a89452562d77b0bbf74eb872bc99e

Observation 3d9d7972-b518-4dc1-a6ca-5bf97eab3cd7 · outbound

This paper cites Robogpt: an llm-based long-term decision-making embodied agent for instruction following tasks,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Robogpt: an llm-based long-term decision-making embodied agent for instruction following tasks,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.538052Z digest=sha256:e3777ced078a628825e212fa00f18a18a074b9c5e8045afc09e867293a5f3e6e

Observation 25526fee-3c77-4d3f-8a6f-3f50501e6b85 · outbound

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

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.541443Z digest=sha256:b931ecfc649dd27509720e11876ce08b51556acacb90b6262a0a6f3faa14ba3a

Observation e67615b0-134b-46f4-976b-52d56417ca08 · outbound

This paper cites Concept- graphs: Open-vocabulary 3d scene graphs for perception and planning,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Concept- graphs: Open-vocabulary 3d scene graphs for perception and planning,

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.545251Z digest=sha256:c803f8352176ec152abb7446320dd2bf0f4c2002452146b73f48bb13f6083263

Observation c2263949-9ed6-40f3-bd58-f43fd505acb7 · outbound

This paper cites Search3d: Hierarchical open-vocabulary 3d segmentation,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Search3d: Hierarchical open-vocabulary 3d segmentation,

Reference 20

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raw_fallback, observed 2026-08-12T00:47:49.162651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.548120Z digest=sha256:895cc48f71c6b4fc5698cd04b63b23bb520d11df988223b65e881c00b50750bd

Observation 0203bbce-bcb4-4177-b53b-62e071c6a532 · outbound

This paper cites Alfred: A benchmark for interpret- ing grounded instructions for everyday tasks,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Alfred: A benchmark for interpret- ing grounded instructions for everyday tasks,

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.550907Z digest=sha256:36560563ba52dd9db8485831c0456e1b218b22e21d6a84632daca7de57902218

Observation 987d1740-c82e-4f82-81cf-ad978394988e · outbound

This paper cites AI2-THOR: An Interactive 3D Environment for Visual AI.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning AI2-THOR: An Interactive 3D Environment for Visual AI

Reference 22

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source=pdf_text observed=2026-08-12T00:47:48.553706Z digest=sha256:46cc8038423ea5e191aadfbdec15e133a6beda5fd7692fda67b74edcd53bf6c5

Observation 4c18270b-a053-4719-ae04-441b272dc779 · outbound

This paper cites Virtualhome: Simulating household activities via programs,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Virtualhome: Simulating household activities via programs,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.145310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.556689Z digest=sha256:a63efc8d7b6d8bbb3cb4ce30868979233c867655962f0ee9d5d5dc9b08364e7d

Observation cc968a3d-ea2b-4290-a501-c35834493128 · outbound

This paper cites Factorizing perception and policy for interactive instruction following,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Factorizing perception and policy for interactive instruction following,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.134008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.559625Z digest=sha256:e162d01769a271a40129b0dbb2b79e22d32ecbdf3ac8f5daca52de9e6aa7829d

Observation 4cfc3c25-8ebc-4d17-80c5-34f46da38fe3 · outbound

This paper cites Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following

Reference 25

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.562595Z digest=sha256:35c22d9774b299bb112102856e827e2c610f9acf7fb126a2bcb9df349240c240

Observation fc223705-0346-4bb0-919b-594f2709df37 · outbound

This paper cites OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.566019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.566019Z digest=sha256:637f1adf3b7db233413e21c7c8efc95e7939085c5b77feacd9bdd6fcb07e2d7d

Observation 83617d46-7322-4115-a466-e7d9c738fe5a · outbound

This paper cites Epo: Hierarchical llm agents with environment preference optimization,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Epo: Hierarchical llm agents with environment preference optimization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.122913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.569823Z digest=sha256:edf978186f8ef9d32ef49b3bc6090cffa9dd7be2aca3097e422ccd9acae7f26e

Observation d5c3009e-8120-4e83-9282-01c1000b1e71 · outbound

This paper cites Inner Monologue: Embodied Reasoning through Planning with Language Models.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Inner Monologue: Embodied Reasoning through Planning with Language Models

Reference 28

Resolution
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no resolver link, observed 2026-08-12T00:47:48.573045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.573045Z digest=sha256:4b41216b0490aa5f605afa070a67351baaed0f62dd4ff1823d714327969bd8b4

Observation 0e01dfef-7f99-4582-ac15-a8c76216413c · outbound

This paper cites Pre-emptive action revision by environmental feedback for embodied instruction following agents,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Pre-emptive action revision by environmental feedback for embodied instruction following agents,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.111624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.576332Z digest=sha256:bba35c6a89840ce26b719a84834700ecbaa62bb959f3feefc814c7c0d82db101

Observation f51d8f40-374e-4ad3-b038-f7d26678e9ff · outbound

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

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Chain-of-thought prompting elicits reasoning in large language models,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.579665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.579665Z digest=sha256:f0d3c1c66beba57fbe2140291eda226a3fed1e2245be848e9276d2d24d91ea54

Observation 8463d740-1e12-4a8b-8e78-c3853a453d0b · outbound

This paper cites Unsupervised explanation generation via correct instantiations,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Unsupervised explanation generation via correct instantiations,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.094036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.582846Z digest=sha256:1fed429e3d7103cdf20476c5878459764893e09fc7d3311a7b45e63b5c0858dd

Observation 4092e538-ef9d-45c2-affc-38bbcb983d81 · outbound

This paper cites SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning SafePlan: Leveraging Formal Logic and Chain-of-Thought Reasoning for Enhanced Safety in LLM-based Robotic Task Planning

Reference 32

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no resolver link, observed 2026-08-12T00:47:48.585899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.585899Z digest=sha256:0282f25070bfee02acbb023b966b49ffb95a01ac45d1243dc483cecff09c4730

Observation 3da8dd71-e0a2-453e-9b50-dd5736c365ec · outbound

This paper cites Self-refine: Iter- ative refinement with self-feedback,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Self-refine: Iter- ative refinement with self-feedback,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.589207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.589207Z digest=sha256:5ca2909b40ff5c52be84313bcb6e967639ba91bf702ab071df1b1a55e1b12811

Observation 5a03c1ac-902d-432b-b325-8d25285e75b3 · outbound

This paper cites Amor: A recipe for building adaptable modular knowledge agents through process feedback,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Amor: A recipe for building adaptable modular knowledge agents through process feedback,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.074584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.592591Z digest=sha256:37cb7843292b621547cb7196f9926f7221f5e5b7099c902e0e210ef57a92e6a7

Observation 901eea8f-723f-46ce-b3e3-685bfab70ad6 · outbound

This paper cites P-rag: Progressive retrieval augmented generation for planning on embodied everyday task,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning P-rag: Progressive retrieval augmented generation for planning on embodied everyday task,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.062429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.596209Z digest=sha256:478a31c5c6c93cb06c6b184ed4aeed50f534bc8b3f22e4680fee71bbb5abc95e

Observation d201aab4-5bd2-4101-97cf-ee2dab6f87f3 · outbound

This paper cites Instructrag: Leveraging retrieval-augmented generation on instruction graphs for llm-based task planning,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Instructrag: Leveraging retrieval-augmented generation on instruction graphs for llm-based task planning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.049396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.599511Z digest=sha256:9fca8e1638bf994959fce7d0e8654fa6133f2a76a7225cd71f24d400906166d5

Observation 8f647854-c1e0-42d2-8e5f-05bde973edd9 · outbound

This paper cites Double-feedback: Enhancing large language models reasoning in robotic tasks by knowl- edge graphs,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Double-feedback: Enhancing large language models reasoning in robotic tasks by knowl- edge graphs,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.037770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.602700Z digest=sha256:1439d87fd62df2c3058682d41207b869c18ba48204e1c9f012419153e12746f5

Observation b307ba83-8b47-42f2-8761-40c328dcc2d7 · outbound

This paper cites Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-12T00:47:48.843230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.605911Z digest=sha256:1de4d993915c875b7e99d2c9b5e22b13b9ffd4bf2e3de054d511b43e6d51a892

Observation 90af5c98-51e6-4d22-9217-44fbebef610b · outbound

This paper cites You Only Look at Screens: Multimodal Chain-of-Action Agents.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning You Only Look at Screens: Multimodal Chain-of-Action Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.609892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.609892Z digest=sha256:beb772ac2469e92fc25698fa0a2eddcc27a877796c7e35b163cb198115aeb041

Observation f1b0ec0f-27ce-48df-b549-8261ed1d4d20 · outbound

This paper cites ToolRL: Reward is All Tool Learning Needs.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning ToolRL: Reward is All Tool Learning Needs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.613693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.613693Z digest=sha256:4d12d9806bea07c077853ea69b9868adc0a1408f23cadd5a93800aebc9831ede

Observation 7f819eed-dbc1-40c0-8d3d-1f4203d7de1a · outbound

This paper cites What is the Alignment Objective of GRPO?.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning What is the Alignment Objective of GRPO?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.617633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.617633Z digest=sha256:8d4c29f0c1f764c008ef8cb0efab734af1389532fee32caccc839ddb202d66f3

Observation 7833ba14-7d2e-44b4-aa7b-f411030cef2d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.621352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.621352Z digest=sha256:b2df4bc9197817e9fafaf1f24aeba715f9e86790636b2a6c432cb919dc11cae1

Observation b20bfa9a-b1e3-402a-af2e-40ce9f073a59 · outbound

This paper cites Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.625599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.625599Z digest=sha256:b838d25944df8d80fcad24a0a6c0d931e3137d5b9eebab4e364232ae091d76bf

Observation ebe04acd-e761-477a-a583-c27d6e287ea0 · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.629467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.629467Z digest=sha256:cf9a5af15ce38ce920a0fd3369f2dec0240c67be90b86f82dac087c532d9a169

Observation 37b5f39e-e1f5-4f56-a772-f53cbbf9c871 · outbound

This paper cites Context-aware planning and environment-aware memory for instruction following embodied agents,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Context-aware planning and environment-aware memory for instruction following embodied agents,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.633427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.633427Z digest=sha256:c506c3d7018c8973bbd8470758d0100ff34a532692af594d2bf91ddb869c66d5

Observation 26012b19-aedd-4e8f-bf63-afb9a269e349 · outbound

This paper cites One demo is all it takes: Planning domain derivation with llms from a single demonstration,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning One demo is all it takes: Planning domain derivation with llms from a single demonstration,

Reference 46

Resolution
verified exact
raw_fallback, observed 2026-08-12T00:47:48.763199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.636526Z digest=sha256:5092d27e09440a599b201701158a31604a6368498057939a3e8027d6399ef59a

Observation f779d019-8ba7-4b89-aed3-a182c595eace · outbound

This paper cites A persistent spatial semantic representation for high-level natural language instruction exe- cution,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning A persistent spatial semantic representation for high-level natural language instruction exe- cution,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.018980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.639579Z digest=sha256:e8e09d8d27a3eb0d6a0bf15a33c1a0558ce3579535bae6bceeeca377247f103a

Observation 7d67d89b-f2a4-4d0a-b62a-a5cc07b581ee · outbound

This paper cites Lota-bench: Benchmarking language-oriented task planners for embodied agents,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Lota-bench: Benchmarking language-oriented task planners for embodied agents,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.007464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.642672Z digest=sha256:36894be417b554b9627321d443680f8c91b0ca1ab6d8a5ade5ba7c3a5bd9f7ae

Observation fd4d0c53-7b4a-4c2d-bb6b-218ef9dd1a32 · outbound

This paper cites Lifelong experience abstraction and planning,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Lifelong experience abstraction and planning,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:48.995842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.645654Z digest=sha256:25fe639ba3593fd2351b84d64b8c058517c5738063930462cfa53e14e50a0ae2

Observation da251454-6a79-4932-a832-66ecafdcb0b6 · outbound

This paper cites Embodied agent interface: Benchmarking llms for embodied decision making,.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Embodied agent interface: Benchmarking llms for embodied decision making,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:48.984896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.648554Z digest=sha256:4234bbab44d70f5f4a6ea3974f7d1f1d63f1768ace14ecf95b352122c7a1cca7

Observation 2707230e-bcb0-4d21-b77e-2094ef24476b · outbound

This paper cites an unresolved cited work.

GraphThink: Graph-Enhanced LLM Thinking for Long-Horizon Embodied Task Planning Unresolved cited work

Reference 2021

Resolution
unresolved
raw_fallback, observed 2026-08-12T00:47:49.266645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T00:47:48.497777Z digest=sha256:c1494120de1723df1f0ff803822b231c1a7377f1606de18b9619b65ce26d8ae5

Pith citing papers

No inbound Pith citation observations are available.