Pith. sign in

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.475113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.475113Z digest=sha256:4f51ae18d04a9236e1f77ab2a44dffaefbf349f0f18dc93fc84907ebb8db7268

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.479233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.479233Z digest=sha256:cafcf2426998da044ce084a8c97615b2267fda9d51dfaa362e7d42de80921bc5

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:bf118a9ccd2d50836644714967af0a168ccd2bb61ea093f69dff9ef2c57cfeb9

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.486961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.486961Z digest=sha256:ffaa1a6d089473074f243d25f1a32b3dbe11502a938d982beddf78edc5f3a9e7

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=sha256:5a9223ce921c535bc45e02c46307503927102bd5862abcb0b2ed8308f30355d2

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=sha256:2bdb7720f02161937c4ef6d181c78ac401337efe1f8e0a6082b5478730c032fb

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

Resolution
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:df764b6ade158a9a041a351d2165d9cc165d589e9be37e51094ea93d29a79975

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

Resolution
unresolved
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:fecbe3d4c2de211c41ef61ae428eddf651ee83dddc0c3b84cfd1702e274c53fa

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:b60d1b82fd64dfa749c42602173f279b67b9b376ffab1bb41d81079687027b6f

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

Resolution
verified fuzzy
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=sha256:274daef2dbdcce14c0d07f935bc18ab0c382485594b8f0e5e43bb7a925e06b0d

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=sha256:4dd0b0d7f224b4f426ff76c4317ea277ca8edcb89d6a66401f5f551e68fbb895

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

Resolution
unresolved
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:c0fb0d049a524d10d0efb0a72661320d4ee3372ccac3260e12f8fcc06458bf8c

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=sha256:6a71271e40e0df8e27377d4952b36d7e463f91b6da3a8ae6d558065ddabcdb99

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.527188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.527188Z digest=sha256:820be6dfa09547e264d17ddfde906b0bedef8231ad129446c918675cd0edd197

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=sha256:0ccea7c929c7bb604ae92b205e590a9e79d607b4c96dc1fc27e95184da873bf4

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.534462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.534462Z digest=sha256:5261c8903150cf6e66ef20eba63834a6c20a2f3feda8f4dc475672d4cfb3567f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:47:49.180059Z

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:ba0f51717b48ab9903226422036563ddd7247653cc68dedbf3bf875c70fc5711

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.541443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.541443Z digest=sha256:8ca25da2344f534430d86b46d00b44559f63d752920845fa8b528a86aadf4dc1

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.545251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.545251Z digest=sha256:aba897d51a867db222d30d20102da339cd388b5f4bea7d49ccf329c1fb565c6e

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

Resolution
verified fuzzy
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:aee1add586c6787d4025821ab678a1f025695f7dd9ac213be749135bad3ef186

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.550907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.550907Z digest=sha256:7e07a9756cbfe21c940ad486e539091a0c61df8d275edd1ff6db5c6ef21b3e74

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

Resolution
unresolved
no resolver link, observed 2026-08-12T00:47:48.553706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.553706Z digest=sha256:2bb25409d9910b2c1e7ae3cb63b38051e40f4a83389443974739b097b88410b0

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=sha256:68c71811619083750521bd9e0d0ffd4548d13e3c37326f35499bd059cc67971e

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=sha256:08e75d35ddd432e3f50478a25ddcd141fe7efab4a4fd12cf3d6718943d20f5b0

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
unresolved
no resolver link, observed 2026-08-12T00:47:48.562595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.562595Z digest=sha256:f811a3570b48143028ebb31251c466b40d5a4416573b706e136926b2a16bbd33

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=sha256:6ee48b3ab4779f38049daa3fb15b88759665aff0018075c30136ea8d53f3d042

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:b3b93cfe178738b18aa9ba6d8bca7de8bc5c7c66c1d21547cbee332bd463a687

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
unresolved
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=sha256:519508db18af4d821fdabc38294fc424c515a76e7cd8c422d8073060a4f26c24

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=sha256:729c559c27542931b8245f44ff16d88c19f3beffeae4f50a1ba2a209d44442af

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:cff389e77a1fb9bc8dd61b9c1afbf0d88afc6fd5a85de57cf46b6c14751a6a6a

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=sha256:21e0d4edc5b2e921d3c09b9d2f5060fd798c4801dd1acf51229c7249a10215c4

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

Resolution
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=sha256:8d29a9de7ea7380fbe454d2103b62b312b7edfbc8cf952b28fe8fd1f579d8e58

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:b5e85bc7200c7b6f1d2f439cc3a9bdccce9c158ead7fd8824dc5d77a6aa04366

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:d2bd6516cab3ee9355a299d1afcd37750b66b4914c836c9025c683002bd23317

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=sha256:438564084e28064f729be5fef01a33b10467dce039f3b1acb1ffeb920ebc00f1

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:e9184768aa70170f5e7c61126c8e22aaa1e2f13f7c58b85765d042cf9efd28eb

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:b7b71a43b266d3dca7800340f3cae5bffd81de1267957ed85e04532a75cf7bae

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=sha256:94e842388cbd5c2d408c24f8f77316f77874ba394d43bb6e7cd76b58ecb3fdf2

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=sha256:258767a91cfd31b5fa85b8d85abdcc89ac33d4202e67016f32738855d45304fc

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=sha256:16c03d18c5beee22cbb2154a04ccd111a85618d9c61efa64aaed80aa241e64cc

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=sha256:6e1785c56c790e936b345ac3cc5ffa17a69eb1053d5d3add20e8041fd73cbc99

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=sha256:5f13424e8c838c360ce764227e27b212225fe0e2801670adb47cd5b7567028b6

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:d34083b4ade9ead7238d08b59ad37ae55b6b6a13bb03c0d3759ca6003c7a45ba

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=sha256:844d126c076f873b18356018d44ea8d29db8da491360eeea9efcf9f5b2d9a47b

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:e077e9c681b7dae55f18ab880faa9c7cc60b6d510bba0bd88ee8aefa429141dc

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=sha256:9d95a2d4d946ed05b2e947439e626b268f2148d17f479629c557cc3df0d84e37

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:b06157bd02f178ffa36d4fec380365f2880686fd44c41ddb7166a2e4ddcbd472

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:d052b83ace95411802c8d3915d5bec8b926a494119db06011f1035b3548f0b49

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:a020073b5830f9c15bdca8cb61d41fd635ee0b14e97cdf4ff6169adf0d36df32

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:e15e674b3041f315070f0a0b166f1fdd58820cb1e96ec85234c015ae458da777

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:ca3f39ccda4fc5986fa9432bc120de54250e4ae6c8a7b72f1b96c48989edff9c

Pith citing papers

No inbound Pith citation observations are available.