Paper Citation Record · LEDGER

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling

As of 6 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2510.14703.

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

pith.paper-citation-record.v1
2510.14703 v2

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T06:30:39.858246Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T09:13:20.071265Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

57 of 57 outbound references displayed

verified exact37
verified fuzzy2
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation eab48532-235f-4542-9644-1d5b533f0ad1 · outbound

This paper cites Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.502641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f4d25d7c-9cec-4315-868f-8b7d7c4f6580 · outbound

This paper cites Ackley, Geoffrey E.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Ackley, Geoffrey E

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:30:59.789592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f27b7b71-50ab-4789-8a12-7a4ddbbe564b · outbound

This paper cites Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.508056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 91a285a0-ab89-412b-9e4c-467a7bfe332a · outbound

This paper cites NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.514386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2f60fb71-058a-46b4-b824-08f01e08b757 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.534435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6d9fcc02-57a1-4437-9b4f-f1ad13dd604f · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.818372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 737bcdc0-ed6c-41fd-bfdd-abd7979ed6b2 · outbound

This paper cites Octopus: On-device language model for function calling of software APIs.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Octopus: On-device language model for function calling of software APIs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-21T01:21:38.414887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ef31c2d1-1217-489e-a7a9-47c4086446da · outbound

This paper cites KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.657416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation af89acfc-bba7-486e-9973-7c4bde34a90e · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.815106Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b1f85dda-d33c-4bae-aec5-78b73e35bfc9 · outbound

This paper cites TinyAgent: Function Calling at the Edge.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling TinyAgent: Function Calling at the Edge

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.634603Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a31514b-d326-4f6c-b069-215fec1cc7ce · outbound

This paper cites The Llama 3 Herd of Models.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling The Llama 3 Herd of Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.649935Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f21ca3d1-e615-4e6b-98be-56439d655977 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.802470Z

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Observation 16fb6197-3ea0-4612-8dd3-60ca0aa6d74e · outbound

This paper cites GPT-4o System Card.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling GPT-4o System Card

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.615965Z

Source-reported events for the cited work

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Observation ea5657e4-cf9a-4072-be09-6460b67af350 · outbound

This paper cites Mistral 7B.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Mistral 7B

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.564079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f0fe6994-0172-458c-b44e-1b7ad6222982 · outbound

This paper cites https://arxiv.org/abs/2504.09037.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling https://arxiv.org/abs/2504.09037

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.593183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c90a6225-d28a-4797-a8e0-1753d59d3517 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.808682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 779cdcf4-e961-4759-9f23-5a1a1158c2f8 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.574221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9d3a3478-a79e-4ecb-960d-875b2831ef71 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.828459Z

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Observation 6f4d256d-a49d-4013-92d5-b41316534c07 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.792924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7d7742cc-9325-4c7f-a766-ef7bd69965a9 · outbound

This paper cites Hammer: Robust function-calling for on-device language models via function masking.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Hammer: Robust function-calling for on-device language models via function masking

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.545114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 82d4ed90-25fe-41ff-b92d-6be482e39f85 · outbound

This paper cites Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.638653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 391e333c-8e2b-4ff7-b82d-25b5272db031 · outbound

This paper cites ToolACE: Winning the Points of LLM Function Calling.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ToolACE: Winning the Points of LLM Function Calling

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.642197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c161efa0-3dbf-4f6d-b865-d83a9c7a8063 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.842021Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4b31592e-ed42-4353-92aa-d078b568d8e0 · outbound

This paper cites Let's reward step by step: Step-Level reward model as the Navigators for Reasoning.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Let's reward step by step: Step-Level reward model as the Navigators for Reasoning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.654041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 08612482-1849-40bc-b4a5-865a2c89e3a4 · outbound

This paper cites ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ToolComp: A Multi-Tool Reasoning & Process Supervision Benchmark

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.663697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 63423bf2-a3ea-4f90-b5f3-d4136c2cb86c · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.848426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 620a79d0-3782-4070-8660-1611bd50fb8f · outbound

This paper cites Flexible and Efficient Grammar-Constrained Decoding.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Flexible and Efficient Grammar-Constrained Decoding

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.630686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 007a2238-2634-42d4-8821-23f3c6bc0ad1 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.805455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2926cef6-95af-4841-b616-4cd3e6bc3119 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.811888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1717e218-1d08-4c5f-84ab-a7999bc19126 · outbound

This paper cites Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.602288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32aa224f-b59e-4a2c-b0e1-7ee1a214fef1 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.578892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6828cce6-3059-4fce-a654-a571cab51ca6 · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-21T01:42:19.263401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a393c6a9-5bd3-4a51-8cf1-56aecfb7a3fa · outbound

This paper cites R-PRM: Reasoning-Driven Process Reward Modeling.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling R-PRM: Reasoning-Driven Process Reward Modeling

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.606855Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 925854b3-e40e-4209-9a5e-d11a70641fd3 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.850924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8248dd94-c26d-4fde-b360-5a13ed40df26 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.660715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be228116-fbcb-48cd-8b02-028d8b42b51f · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.832219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f55998e7-1ea7-4cc5-b0b0-4f750348d20b · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.519086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 97e00da8-0a75-4e4e-a0cf-0de3749a9b8e · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Solving math word problems with process- and outcome-based feedback

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.645851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 03a9c651-3f17-4b7c-9447-57bbbf4ceb69 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.839063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 068626db-bcde-44c6-97d5-60bc8ec2d10c · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.588323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4b6b840-84ab-4cd2-bd0d-0c16da71d5ca · outbound

This paper cites FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.559773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b5e02fd0-1669-4488-8df7-af8a33674b90 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.821827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 96f9edef-599d-4bfd-8bfa-511020ba72d8 · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:38:37.536547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 43344374-0792-4759-a849-971fb36ac07d · outbound

This paper cites A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.569559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 918cd683-66a0-4376-9856-346f2e6d423d · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.844925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 32a737ee-c8eb-440e-866b-45c37f0b72c0 · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.799194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c7bfe2cd-cf5c-4305-9408-18ed1391269f · outbound

This paper cites Patil, Ion Stoica, and Joseph E.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Patil, Ion Stoica, and Joseph E

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T06:30:59.825313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c192e203-5400-42fa-8e3d-17a81028c125 · outbound

This paper cites Qwen2.5 Technical Report.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Qwen2.5 Technical Report

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.523905Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c67cde5-0d68-4acb-9277-7a45fbac2c86 · outbound

This paper cites A Survey of AI Agent Protocols.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling A Survey of AI Agent Protocols

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.539545Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3aacf2e3-0c34-4f36-8298-c6fc18618c3a · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.835569Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e001f309-f4d6-41ee-8021-b8e119e89a4b · outbound

This paper cites Planning with Large Language Models for Code Generation.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Planning with Large Language Models for Code Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.583413Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1a46003b-6abc-497c-bb21-b1a18866556b · outbound

This paper cites Agentic Information Retrieval.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Agentic Information Retrieval

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.597734Z

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Observation a74af252-5087-4d97-bf99-1089b48f85dd · outbound

This paper cites an unresolved cited work.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-18T06:30:59.795619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3e94bf0-9133-432f-add4-393ededb352e · outbound

This paper cites CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-20T02:04:43.676793Z

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Observation 2d850bde-0282-4b18-a290-f3dc3a01aeff · outbound

This paper cites A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.555716Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4375bd75-ef7d-4680-859a-649132589594 · outbound

This paper cites ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:30:59.667113Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 251c1f51-7dfa-47e9-9dd1-cf90f0b7df5d · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-18T06:30:59.550154Z

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Pith citing papers

Observation 83c41822-8327-4208-a293-820c1f09cced · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-09T00:19:26.296482Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 57300735-99e4-4ec8-b789-8bae6a35cfa7 · inbound

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis cites this paper.

Rewarding the Scientific Process: Process-Level Reward Modeling for Agentic Data Analysis ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:15:42.750478Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.