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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=sha256:1635d35dc577d182819d4cb9c9aa2b2e0c07710981541a1e07e6923c08b571a9

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=sha256:3c2b6b4fe846a8830b39fc0f0c441d766d2ee8bb6431aafe4fa4729e1b77ab3e

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=sha256:30a491e40ff8ea8981254571e15dc37077ec514dc641aff3fb778915caf17a2c

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=sha256:9a7cc4f0f8234bf97b3fade85cd437b96a1014c0f60b2eac15db70049201967b

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:a5fad8dad74d0f3f51f65ca89b71b4264574d2d6c1a3702a4f7868b1f028b633

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:aaedfedc902331125498a3b61df3e32d64e5f76e327f98b793a897fc7765a9d9

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=sha256:164ba0cbafdf32c80fbb5398e6110312401946400b17b021421d514d12b0c28d

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=sha256:655fa5f00fdd4ba2cbc5e0ec59bec756ab413d8096560e86c045b8d89dfbfa06

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=sha256:336e13d63585349f0701cdc285c9fab8786f4755b23dded9c1bfb8a899006312

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=sha256:4329e234cddb1d5cb8ada1a3b04c8106626fce016e470365497c270dbee2d165

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

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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:f07f9ed8881d0676d044afb8f3c34cb88d7195676b685e51fcebcf2e0f4d7fd3

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=sha256:482561c09f3de5c8e2a27ef821712e92aefb5125b7a60fa631d49e19deff636c

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

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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=sha256:0abe580cfaa6916cfd391f5e7bad0db9c3e9ebf44981a6f18bbd31ccc8beb67c

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=sha256:0f03bcf6e243a566d5f7538adc4b85d8a11ebf80684039f76ca04ef8823f5c08

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:c058948e798c7f76ff50279479420e46431f6964e1137e10f083bd85321572eb

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=sha256:6244026a83fb0bc8cf1b71f57c9f53712f1a7d566236b472d8cde14be705bc2d

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=sha256:79207607b57b30a13a945bc46440688c1514ae933d435c6286856fbf16ce3d13

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:a5dce8d1c949343873ab7b51b1b07d8fad34288aeb107a16a636fde2e1bbb862

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:edcd49575fb3c0dea7d571c49992889fd3f715a96ed215f0a122b303ba77d1de

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=sha256:52c53563964e5061dddf08f2a030f656937b5a3e14f3408d00909b2ed1a791e6

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=sha256:09f264e1a50de6d6d2df138fe12d6877933b801e2e0703a46e47ca43f3e4b4c1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.553706Z digest=sha256:68e2159225cde0bdfca26ed6cf323a5fe3e0ab7d80ea8eb83ee214b61dd0902f

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=sha256:47780fff1401047c337453ed590376d9844b08c46bbaecf05f72dcdcb99811e6

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:a5cff775f01a46b9de4e55ade4e4bed484121ccd4fd9e231f4d6daa6afd317b9

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

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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=sha256:21d97607dd11639cdeb2da58212ca60bee9a39f875ee351b27f6441997c1622f

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:c0d7162199f37b1150f764bcaafee787b47cc6d11a1e92aa5f3f86e294054163

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:dadba143a156951e453e39dcbeb721958c6287aabe5433e9971bc23354fe93d6

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=sha256:0eeb12c93da0f418aabd4d5dc8470f2162877162825b1915b4e87fd1b3f44896

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=sha256:92d6d2be5a63104baa546be8767f3814b345f81103dcbc2ec006ea437fe6d81b

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:c53a6c090f4dbd63429b7d0be2cab81579caa5a5a8388ab4a56f8ca4b99cf0e4

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=sha256:92cd65dc465ae118fee328b041251138bed6e51fb3d1429d45142921ca4727fa

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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unresolved
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:d267dab213ccef96e7525dac462261070888caa0dc965138e58ac62c2cfa1baf

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=sha256:05cb3752cf149012027996fcab17853a832150d65bf02c6a316725d2c6655859

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=sha256:1f1e2d7a983b19b49d0db15939f0fd3260a591d3d0a97cc49e6cdc69f9a3a653

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=sha256:982d506983301b95c9b2104dc5759a3e527e068cbab8fcb57078061e1f4cde4f

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=sha256:407ca5ff47493beebbbdc5a6870df5fe89aa7ee1c3a3f7628991ebf37807be10

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=sha256:4f12b6821fa4976f480fbd0b7754368e12af51559e2c67ba97d7da2584ee38b7

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=sha256:3fe4dda26cb42faec08e08ec788fdc22fff256418d71a40bbecc2fbb32ed4e3d

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=sha256:1fbf69fa91f4ceae668239897107cabe4889e7eadfcaf9e7450904f3c328dbf1

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:ca49ce4d2f8f35ea1bc43d60e420ce59d616f28d0b5b88a8ec69552e050d95a5

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=sha256:16840766e001a77a146d4a507ba0ba60fc348b01dd6c95884f7236e9f6666ea8

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=sha256:9764128fe43bd7633ceee6ba0e20a64762fb0380207910da2faf711604b97e1f

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:ec69726a65e1fe6a782c4b49919ba1994bceb4cbcb0be8d18fb2eb135300f5c5

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=sha256:7fe21ccfc019e81c89028028fa017284e969b7ca0542eeb49436622f041bf233

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:f51d86db9491834afe5960c221ce895f3706f29f7e081d39d037a1423bc979ac

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=sha256:39d0c2131868c899a65808bab307ae146d65ed653648f44bf1f1804cc83e8ca1

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=sha256:31055717376ffa86154b923e81e9628ad487941cc2c2d61ef77b32025b3c1e60

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=sha256:6050c3ea89c607cec9e2d7a4d9f2e7deaa370ab7345b71871d318e6d6eadaf66

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:b98f54e5138cc8c58307e42ce5f35252a33bdfc96b97e9cf39190cd22d54cd04

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:eedf10436b8500060870ff72e77514c54632571b9e2c6ac4a2164e5807d7e16d

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=sha256:657679bbe98e74dce997c39c701c9cf6747fc5e27051f614ee59d4cf4490d5fa

Pith citing papers

No inbound Pith citation observations are available.