Pith. sign in

Paper Citation Record · LEDGER

GRAFT: Graph-Tokenized LLMs for Tool Planning

As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2605.11706.

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

pith.paper-citation-record.v1
2605.11706 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T07:22:03.560420Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

38 of 38 outbound references displayed

  • verified exact12
  • verified fuzzy23
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75421c41-8fb6-47d6-ad3c-e4f00794f11e · outbound

This paper cites LLM With Tools: A Survey.

GRAFT: Graph-Tokenized LLMs for Tool Planning LLM With Tools: A Survey

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.329052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:0ed2d8524b4d15aa7544adde36ecdcecaccda67fdb1e6a106a83334cc006fe72

Observation e8dfc96b-ac3c-4fd7-b254-cc97e04ad760 · outbound

This paper cites Llm-based agents for tool learning: A survey: W.

GRAFT: Graph-Tokenized LLMs for Tool Planning Llm-based agents for tool learning: A survey: W

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.711650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:215bd64e31720bf24b6f1f0c89dab31a868d3e9880d1aa1f86156313b7f1b9fc

Observation 91b94b90-9c1d-421c-8525-212fca70b762 · outbound

This paper cites Can graph learning improve planning in llm-based agents?Advances in Neural Information Processing Systems, 37:5338–5383.

GRAFT: Graph-Tokenized LLMs for Tool Planning Can graph learning improve planning in llm-based agents?Advances in Neural Information Processing Systems, 37:5338–5383

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.700392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:7c7ec17cd2bc681a47ce07ced8e6770d051767d7d46d630e3fc2c8209eaf20bb

Observation 836d61ba-f349-47f6-95f1-8d7a496e9ce9 · outbound

This paper cites ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph.

GRAFT: Graph-Tokenized LLMs for Tool Planning ToolNet: Connecting Large Language Models with Massive Tools via Tool Graph

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.323908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:fbaed655b473d5069442ae3dc62426ae96f18eee170be3e8055f1b08cc842367

Observation 3c8948d6-697f-44bf-ad34-175922a8ba1c · outbound

This paper cites Controlllm: Augment language models with tools by searching on graphs.

GRAFT: Graph-Tokenized LLMs for Tool Planning Controlllm: Augment language models with tools by searching on graphs

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.706470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:07b1c1a424c42fc9a2fb49c8d00034414ee3035fe1d2ac6475ed5db666e48c6c

Observation 3f364733-01f8-48bd-a3f5-60a8bab0128d · outbound

This paper cites Cohn, and Janet B.

GRAFT: Graph-Tokenized LLMs for Tool Planning Cohn, and Janet B

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.695220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:f775ac17f6c049d0bad3e49c1b59de2218f2f52981bfcb3d9412a0a23a13ea32

Observation 61a02286-0fa4-4d10-81a1-caefba3269af · outbound

This paper cites GTool: Graph enhanced tool planning with large language model.

GRAFT: Graph-Tokenized LLMs for Tool Planning GTool: Graph enhanced tool planning with large language model

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.755640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:4498283623ef3b5b02885ec955ad11a0bef5f909fd707332a4c1e3f45fec18fa

Observation 7d383f78-47f4-405f-b58a-79194e24870d · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

GRAFT: Graph-Tokenized LLMs for Tool Planning Scheduled sampling for sequence prediction with recurrent neural networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.761021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:7722092618fb9dc14d4dc626fb03791247e03169a9452281a2fdf5039ad3498a

Observation cac3d168-9ac5-465f-82a1-3ae16c37a094 · outbound

This paper cites Sequence level training with recurrent neural networks.

GRAFT: Graph-Tokenized LLMs for Tool Planning Sequence level training with recurrent neural networks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.768945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:796f8176b2687927ffd3f8d3ae6dcb0eafb0ae37ab321ae05d3df704ff140e06

Observation b5a2e484-a1da-4d3f-a872-790ef8b439af · outbound

This paper cites Professor forcing: A new algorithm for training recurrent networks.

GRAFT: Graph-Tokenized LLMs for Tool Planning Professor forcing: A new algorithm for training recurrent networks

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.765442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:01f5014b6be97de1a14b70b35dcbbc5e64a9fb573ad8cdbd0c7810203309a82a

Observation 19d8ed39-a222-4834-bb6a-ca28dad50ecb · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

GRAFT: Graph-Tokenized LLMs for Tool Planning Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:22:28.318565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:26d18d8cc230e0e16a3eafb0cd677c62106463419a9d59d5bac333a25c11122a

Observation fd863a2f-8730-4131-970b-0c9a50f7cabf · outbound

This paper cites On-Policy Context Distillation for Language Models.

GRAFT: Graph-Tokenized LLMs for Tool Planning On-Policy Context Distillation for Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:48:41.492604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:41805774a387deeb62c568c35431728f5849d3fdee21da4d95432e8ea408cc87

Observation 44602751-bbf3-4bc4-a2ea-84faa7b65695 · outbound

This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180.

GRAFT: Graph-Tokenized LLMs for Tool Planning Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face.Advances in Neural Information Processing Systems, 36:38154–38180

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.792896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:53c3da57a726f198b17c655689efeb54c4b21b8416276ff38e96431c444c0cee

Observation 3a8f9d62-c9cb-480b-8412-5ea2d7a7aa4f · outbound

This paper cites Taskbench: Benchmarking large language models for task automation.Advances in Neural Information Processing Systems, 37:4540–4574.

GRAFT: Graph-Tokenized LLMs for Tool Planning Taskbench: Benchmarking large language models for task automation.Advances in Neural Information Processing Systems, 37:4540–4574

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.804461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:af709ac4b7e5110226aaa53331c4ece43f09b30312ca926ab18606cc0480d9d1

Observation 242bcf43-c36b-4103-a375-f0bbd555a846 · outbound

This paper cites Toolllm: Facilitating large language models to master 16000+ real-world apis.

GRAFT: Graph-Tokenized LLMs for Tool Planning Toolllm: Facilitating large language models to master 16000+ real-world apis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.811608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:99b34030e0bb625a8c5a5ea583c9e594c6b94f92eb22897ec3b48eb41e4b04d1

Observation 404f8d7f-c3f0-4ec2-8ddf-cca8b7967498 · outbound

This paper cites GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction.

GRAFT: Graph-Tokenized LLMs for Tool Planning GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.290690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:79d4371cce091698aae2287e9dedf72bf3c78eda2f235351aaf80831935f14c4

Observation 56cde028-c360-407c-af63-916b16a08443 · outbound

This paper cites Toolgen: Unified tool re- trieval and calling via generation.

GRAFT: Graph-Tokenized LLMs for Tool Planning Toolgen: Unified tool re- trieval and calling via generation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.781626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:855f0d15af78a54e1e7edb8b0c462502477b75a0aa42bc9b8cd7fead70c6038c

Observation 86a2797a-3e47-4c3e-88f3-69465f251808 · outbound

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

GRAFT: Graph-Tokenized LLMs for Tool Planning The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:16:41.836860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:dbf8025f7502cb63b7e755371291c19eceef5361e403ce1a055f2a449a0a3f98

Observation 75c3de22-1d58-454e-8212-5f85a58ee393 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

GRAFT: Graph-Tokenized LLMs for Tool Planning ReAct: Synergizing Reasoning and Acting in Language Models

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:22:28.256960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:e028cd240ed2142afc94bf0ccd29549205ebee13fdfe631cf5c7f11bdb70039f

Observation f9d5f345-c44a-4e88-8985-0fe8803df340 · outbound

This paper cites AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning.

GRAFT: Graph-Tokenized LLMs for Tool Planning AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.269254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:ce34b0fc7761bc5a064b9fef12c0367dbdb057b9a39cbf420e3845934ecc9094

Observation 35348461-5328-424e-a491-ee2bc5e1eb0a · outbound

This paper cites In-the-Flow Agentic System Optimization for Effective Planning and Tool Use.

GRAFT: Graph-Tokenized LLMs for Tool Planning In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-23T02:23:22.856980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:88c9588f7838cf8f091ffee74746c3d59bf90e02691e85f478e34701128b4238

Observation 63e1c70e-ef54-4cce-9de6-1afd28a244ac · outbound

This paper cites Gordon, and J.

GRAFT: Graph-Tokenized LLMs for Tool Planning Gordon, and J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.774370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:81664e0dde19b7abf28c9ea9888f9be676d3102f2dfef5b76aaa431df8a700bb

Observation 3afb966e-54a8-4192-97b7-f76e11162dd9 · outbound

This paper cites Williams.

GRAFT: Graph-Tokenized LLMs for Tool Planning Williams

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.822422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:341c3e7005e10206b90a25c63812028e30fcf2de0cd818721ae4020895118171

Observation 35288825-1c16-4a50-8905-606ff3971a72 · outbound

This paper cites Jordan, and Pieter Abbeel.

GRAFT: Graph-Tokenized LLMs for Tool Planning Jordan, and Pieter Abbeel

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.734800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:74766af3fb0a8d74dffdb4284d3baa3800c7eb3092d19b092c3b5f3a6b29cea8

Observation 9cd9aeef-5cdc-4110-876d-39dad8aacf10 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GRAFT: Graph-Tokenized LLMs for Tool Planning Proximal Policy Optimization Algorithms

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:22:28.302671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:19fd2e0abf51a3aff9541e7f3cc07261e8b5374c0373dba218d745a1059ce949

Observation c025c32f-b252-4364-a573-8cfb36ec648f · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

GRAFT: Graph-Tokenized LLMs for Tool Planning A Survey of On-Policy Distillation for Large Language Models

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:22:28.262240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:4d972fe1daf4842e996c6372e7ed5ef87e8736079e37821ad11aeefb07b2480c

Observation 5328dac3-d2fd-4793-86e0-3a9eed2371be · outbound

This paper cites A Survey of Graph Meets Large Language Model: Progress and Future Directions.

GRAFT: Graph-Tokenized LLMs for Tool Planning A Survey of Graph Meets Large Language Model: Progress and Future Directions

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.251864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:653e003332550b33b0b6583078c9c6db53ce35ace3b03a16a49071a33f2b6979

Observation 47499b91-bb80-45c4-a671-4c232e476ba5 · outbound

This paper cites Toward graph-tokenizing large language models with reconstructive graph instruction tuning.

GRAFT: Graph-Tokenized LLMs for Tool Planning Toward graph-tokenizing large language models with reconstructive graph instruction tuning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.724622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:a96b1a262268e54b14404e71c9e5fff4e2cb5b7113561f271d4ec89d48daa254

Observation ccd29af4-81e6-4af1-8139-4f131963c74d · outbound

This paper cites Large language models on graphs: A comprehensive survey.IEEE Transactions on Knowledge and Data Engineering, 36(12):8622–8642.

GRAFT: Graph-Tokenized LLMs for Tool Planning Large language models on graphs: A comprehensive survey.IEEE Transactions on Knowledge and Data Engineering, 36(12):8622–8642

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.718165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:8b49b2a611d89117a54d53a8967b28ac59e38b51fe26c97adc3678b19e4a3f03

Observation 9eb5380b-4992-4cfd-a442-18f3817298a9 · outbound

This paper cites Minillm: Knowledge distillation of large language models.

GRAFT: Graph-Tokenized LLMs for Tool Planning Minillm: Knowledge distillation of large language models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.730357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:4febbe16fd484269a09dbd9f67f4e12054de76d4c6c953136f8bda9a510234d4

Observation 2c30fcef-ed7a-46b1-93de-a69d37cf5336 · outbound

This paper cites Planning, creation, usage: Benchmarking llms for comprehensive tool utilization in real-world complex scenarios.

GRAFT: Graph-Tokenized LLMs for Tool Planning Planning, creation, usage: Benchmarking llms for comprehensive tool utilization in real-world complex scenarios

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.739653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:9a55417f3342d693dfe059611f766c347bc92fc6f218f3656e00e5f3f083a71d

Observation b1afa24e-e765-491d-81de-f971d873a3f6 · outbound

This paper cites Llms in the imaginarium: tool learning through simulated trial and error.

GRAFT: Graph-Tokenized LLMs for Tool Planning Llms in the imaginarium: tool learning through simulated trial and error

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.746376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:9b76cfcc96fa7921fe1e7fcf5636aa0494da7b72020a93209c63c8dcf14e4703

Observation f4a964d0-46b0-49d3-83dd-3935ba3e0a3d · outbound

This paper cites Toolink: Linking toolkit creation and using through chain-of-solving on open-source model.

GRAFT: Graph-Tokenized LLMs for Tool Planning Toolink: Linking toolkit creation and using through chain-of-solving on open-source model

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.798246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:94f5a3472d8574d349238cdbc05cdfd36934d52f38adbab4027fb2076bf0765c

Observation 0503546b-23d6-4593-a3f5-2d0c1076d949 · outbound

This paper cites Qwen2.5 Technical Report.

GRAFT: Graph-Tokenized LLMs for Tool Planning Qwen2.5 Technical Report

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:22:28.313046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:fbd42b62ca718334fc4252c7fbdeb96afcff5000c8114ae211862f7f5bfa7c43

Observation 66b664f2-be79-40a4-a908-df9606a4b35f · outbound

This paper cites Llama 3.2 3b instruct model card.

GRAFT: Graph-Tokenized LLMs for Tool Planning Llama 3.2 3b instruct model card

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.817760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:2f3fd62edcc9f2577367bdd1a6618bbf11fec286acda0f0d185a5c50d9ab6547

Observation efd2d428-d868-4636-9288-631d7822a767 · outbound

This paper cites Mistral 7B.

GRAFT: Graph-Tokenized LLMs for Tool Planning Mistral 7B

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T07:22:28.274471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:21026ca077db52bb81e72b940e2c9a1f5c1bf1bf1c42e7734f7ed7f525f19e56

Observation a0328142-7600-4968-bfa4-ea454fa6d451 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

GRAFT: Graph-Tokenized LLMs for Tool Planning LoRA: Low-Rank Adaptation of Large Language Models

Reference 37

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T07:22:28.307821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:1201cdff331fadbeb1dfe7d9f921d471d754c872fe63e85a2b28fb82d73ebcba

Observation 335d9153-a0f7-4183-930b-6589259ba408 · outbound

This paper cites Max Len.

GRAFT: Graph-Tokenized LLMs for Tool Planning Max Len

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T07:22:29.787216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T07:22:03.560420Z digest=sha256:004ab83b702b85194336d3d6e5d2fe2fbc75b0a7d9ba728bb531079a7c0e6f63

Pith citing papers

No inbound Pith citation observations are available.