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Paper Citation Record · LEDGER

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

As of 13 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:f9e18ddc12505d0d2189324d592572b88dafecb26a8059094cff619934b70b03

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:baea665fc5636ea50468613cc7616053e0df18bc846ff084f80f7351fbdef55c

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=sha256:23020bed37e2e7065057ef8cd417a45b28fc32385c00f61ad4a192b29a9f657e

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:f30f6aef78a4507a800fa27c13af6f88d4e09e91f944093c1acbc936e65251a6

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:cb9507da4af5d750dbcb0ba7b9520f426aa2597b1a0ab06a8e331056a4d3ffbd

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=sha256:2ace84d3c276752aace75c09c3e605872e2b2546a33ba82f5a484908bc51d9a6

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=sha256:8fe4301c74f4e61aac0788aac939cd39ffa1d364c922a610ae8789bd379120b3

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=sha256:2724491ac2738f9f5bea5f691e21ae22b0361c8030323ee5967316fbc6a82e91

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:f9a10b82f69eee8083c202ccca1cdd82fb3244bf3b07d916ae6151756ef47e17

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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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:d4321191b75d726477a2f25830c89098513d887385962671b44eb9b38409049c

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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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:e6829e89184444d2c35886a16714204cf89a8f371662d9a7369deb48d59d0c6c

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=sha256:83a9046c3006a82ace998550ef1efa3e96e291fa2a0675ff3cc4fa44eb5e4f3e

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:a4a1d32ccc54cd96b23947e8995b6d5f96a09e87bc6a1a825f85c914b70a9aa6

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=sha256:4e9d6f876fe828b9ffc990829352dd07b72b8406e0ab241679e2f618ba46a588

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=sha256:6a1bc178a5900ff9ecd5d9e32fdf56b00916b09fe46f5813366b90d553c02b77

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:c04abfdd74ca723e39a8d238b926fec7e5eab70b4d4062ccd08b7841a9d50257

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=sha256:455f16c459f9461429264eb51c7fd0d1a13e6a4218daa2403b45bdf533f7ff00

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=sha256:0c55fd4e23aaf53b168a29deb20a48b6ffeb4f5517d6eee319b68cd62add6495

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.545251Z digest=sha256:c7b8e1d959c677354fca39e060d8495fde659d96f69d3813abdc5b16b5ac68bb

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=sha256:94b909e15fb0d370fef88b712027330682e6fbedeff83df2e00da043e069ec38

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:e36df77c0bf4991d0173d19fcb53a583a0dbb014be101cbc8877bcd35defd4d4

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=sha256:94e36f9bf342a0d5af9652b749768ad57ff8c6b9c39ce56c58dd3feb038709fc

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=sha256:87c689d29d12ef8e0eac3d2c596b3b48fb15461d5a686c46ec3f93ea24bf2b8a

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=sha256:2fa73e9759b9109e07fa3ee6176642923ad9712653fd080cfc98aebf366804ce

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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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=sha256:395c013c0b5c65493dfe00ee4401ffc54823a6008a0cf888c788dd4de1c81536

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=sha256:0cd59d61065eab5399fb23b76543a834dcb37731b4ef71d38517f66ee2669154

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:a89b879fbbefc8ecfda5e1080f35ea2ebd7a3b2512c119c976d8cf32d9eeea66

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:47:48.573045Z digest=sha256:f6f642beabe32fccdc88271b4245b641cb2ccaf8bcbba5c3627003bfa20deea5

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=sha256:00fd614efb427181158a616d64c79357124e1c113dd438098fa819ae3522c17a

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
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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=sha256:7e7300176fc5b6feda01a1af56ba366be28eb89922e2e5b9f706bbc239f76d06

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:b633164bbb2455475eff0de2c4d4e61911aff13a9487fab6f7773b2286dd47ce

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=sha256:41a7bd95955d1c8a4d50f906620a0fcfb6f6bac663ad3436a5d85adb1bb1de70

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=sha256:299cf72b2f7ba9ba473edf84ec4947e1109650a42332944c12a3194cad877c6e

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:e8dceeeba35da84d87dda54e914353ad6cd78985861aad011d8b6485888100da

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:fde2a25a38a9db953ab9513bd86c986c9f4b58a0f210396d23c36bfc45e87676

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=sha256:6db86ff237ddd9089bbedd7ef4c3d83b069e3ed9f8348bd1a63f88d4d9b43335

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:ae33a310cc502dc414ddf9880bfb31df3a988dbf878251f5597b70c3e43caa52

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:f2b0b0816c1191d5f398578c3620e260b788ebd0fafe4f8d7358e714e62ddf9e

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:b72fa43793818acf05f9725d0aad9be4e093d933e8c9ab56a31279096de4d351

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:ad7eccf85c81813ecd07498c9d882d138267e024f1ed44cf31ec2fa9ed8fba49

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=sha256:5134e756c5fe599053c135c08742da35edd15dd513de33ae822cc943255e5af6

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:ccc1d87831952c7f9d6c71f8405fb5a4e8ecc00792a85f6d706eb435b477a7cc

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=sha256:335d941a07537f6e83beb01e77368f37fe31323dc17a7e1746fe11520ceca6cd

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=sha256:6d737ab9bb7062e187c83bad6b2fcf85cba5da78dadd299fa03940e1324d441f

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=sha256:2060c6e5be91f13416c95b101b662d0bf2fa47542828fab3182eb9d09878c65c

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=sha256:7472ed98fa47948779850acd4b030cae601295637e5ada909a7afd9b7a08941e

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:b379e603516ef470926dd0b31a06da810cad4e2bef08e8a49c6bbde3c064f826

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:e1792343a13ba2863559b7e3288e3b2c22ffd8d42244b6acd21c2095690cad36

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=sha256:7d5d31cd774a0acd83a20ddf3d9db15506b6af79c7ecda8ea841aea6a4a5bbbe

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=sha256:16556c4ba18259463be499c2c0f36de469cb130c33669a5339b3a9f17d52f02b

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=sha256:43c3f25927a505a7903880bbf581bd2fd6acd85f09bf23b25aa216af1d3328d2

Pith citing papers

No inbound Pith citation observations are available.