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Paper Citation Record · LEDGER

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 5 inbound Pith citation observations for arXiv:2602.04935.

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

pith.paper-citation-record.v1
2602.04935 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:36:52.206552Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T10:52:08.721745Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T10:54:36.349298Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a47444e-6625-4ebe-866d-41a12e7cb215 · outbound

This paper cites Representation Engineering for Large-Language Models: Survey and Research Challenges.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Representation Engineering for Large-Language Models: Survey and Research Challenges

Reference 1

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unresolved
no resolver link, observed 2026-08-03T04:36:50.727126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:50.727126Z digest=sha256:538208b947595cb09b27d7a9407f45bdaf18d214f4ed0e2e61b1dc26d9f5e7a2

Observation af7b02f9-8712-40fb-b4b2-077e3d21599d · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents QLoRA: Efficient Finetuning of Quantized LLMs

Reference 3

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unresolved
no resolver link, observed 2026-08-03T04:36:50.944609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:50.944609Z digest=sha256:2de861b298bc18c16fc84da0223d17bda8597caf8202eb4f0d2c1a0c055a9bfc

Observation b991ba69-6afa-454e-a4b3-199036dd9972 · outbound

This paper cites PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models

Reference 8

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unresolved
no resolver link, observed 2026-08-03T04:36:51.421581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.421581Z digest=sha256:3fc72ff4c2f15acd196a4ea0d708f3b01872b221f4c555b3d42716008bd1ca5b

Observation 46f51c80-faac-4f79-8fd8-9539bbb9f555 · outbound

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

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 9

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unresolved
no resolver link, observed 2026-08-03T04:36:51.523337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.523337Z digest=sha256:48ebb006c84cfc482115a860c89870a58042dba94316bffacdf249e83732eda0

Observation 422219d2-6920-42d3-a83b-3a09be9cdeed · outbound

This paper cites Controlling Large Language Model Agents with Entropic Activation Steering.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Controlling Large Language Model Agents with Entropic Activation Steering

Reference 10

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no resolver link, observed 2026-08-03T04:36:51.630074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.630074Z digest=sha256:04e78e1993bb12f9b3f303e5b7b815f8bc005e6e84648995d71449566f71208f

Observation 52ba056c-a144-4328-b79c-3bb92376c53d · outbound

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

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 11

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no resolver link, observed 2026-08-03T04:36:51.733818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.733818Z digest=sha256:01e3946eed5fc5cfeadc623325c03c7935928e1d4e9be9624865480e6272b312

Observation 733dee92-0c42-4fd2-918b-d6187bc281c2 · outbound

This paper cites Taxonomy, opportunities, and chal- lenges of representation engineering for large lan- guage models.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Taxonomy, opportunities, and chal- lenges of representation engineering for large lan- guage models

Reference 12

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no resolver link, observed 2026-08-03T04:36:51.835274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.835274Z digest=sha256:0e01ab6d3ec79726cc96a64fa14a8320d6dbae7f476b245cfd2e0fdaf2a3a451

Observation 831ad150-f9dc-4d20-8699-5ab3c31ef959 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Representation Engineering: A Top-Down Approach to AI Transparency

Reference 13

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no resolver link, observed 2026-08-03T04:36:51.945390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.945390Z digest=sha256:d95b61b5c6926d1a2778e516b1fb0a7298fda3c2e636133a256b28f291bb7458

Observation eee923b6-175b-4d45-ac85-b56cd28504e1 · outbound

This paper cites energy injection.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents energy injection

Reference 14

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no resolver link, observed 2026-08-03T04:36:52.039308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:52.039308Z digest=sha256:9f587e2628906db4500fb0f9d0ddaafaf39248b6ed98198984b89d525e6e38a3

Observation 28c5a783-75ca-4e13-840f-539cebcf59fc · outbound

This paper cites an unresolved cited work.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-03T04:36:52.111964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:52.111964Z digest=sha256:b24d80b08320d5e35d89fd71443e41cde74c2015e3724d0412d000aff9709df8

Observation 32609a0b-52ce-4299-958d-fe3849e64706 · outbound

This paper cites an unresolved cited work.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-03T04:36:52.206552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:52.206552Z digest=sha256:8576ce7b458b858c1e665fa4df7325d39fdd7a5909005c1e3ea34690083fbdb5

Observation 4960faef-faca-40f4-9081-ba3408cef573 · outbound

This paper cites Programming Refusal with Conditional Activation Steering.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Programming Refusal with Conditional Activation Steering

Reference 2019

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no resolver link, observed 2026-08-03T04:36:51.278122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.278122Z digest=sha256:26af38d0d52321563658b664db2d042498f5e1372bb10c460a3607b7daaf3ff9

Observation 6056778e-aadb-4dac-89ac-f921fcd6ce49 · outbound

This paper cites T., Pain, M.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents T., Pain, M

Reference 2022

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no resolver link, observed 2026-08-03T04:36:51.165694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.165694Z digest=sha256:954011068954e5757f82f67e73d38b64d257883d3a3646ec89307ccecad9116e

Observation 0a7356e0-b5b7-469d-a4b1-b9cd9ba518c5 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents QLoRA: Efficient Finetuning of Quantized LLMs

Reference 2023

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unresolved
no resolver link, observed 2026-08-03T04:36:51.075894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.075894Z digest=sha256:e0ed84317101553f49ffe80dbf89bb73c5be0c5d244044220b44a03f573f6ede

Observation 1fffb577-2634-4125-820a-953363e09a6d · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2024

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unresolved
no resolver link, observed 2026-08-03T04:36:51.354096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:51.354096Z digest=sha256:4440160ea32e69dc988b7a05b17dfec7dc094287a03660f8eef78f6f53c0d258

Observation 1e920e62-c8e2-42d9-88e8-bb4a058ef03f · outbound

This paper cites Improving large language models function calling and interpretability via guided-structured templates.

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents Improving large language models function calling and interpretability via guided-structured templates

Reference 2025

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no resolver link, observed 2026-08-03T04:36:50.846884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:36:50.846884Z digest=sha256:9a6e7c1c6bd7f238e6668217f3011bd6528036737c2a61f734676b42e93bd5de

Pith citing papers

Observation cfb314a9-0e51-44c1-aab2-4af83e7a0aa9 · inbound

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes cites this paper.

Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimes ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

Reference 69

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verified exact
arxiv_id, observed 2026-06-10T02:11:48.908116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-08T11:42:16.090162Z digest=sha256:e7346f20edc6184405f28efd21b72e4acbbac8ae600e900e34f750a0b767b37c

Observation 8fac3058-1e93-42e5-b184-69607bf0a3fc · inbound

Tool Calling is Linearly Readable and Steerable in Language Models cites this paper.

Tool Calling is Linearly Readable and Steerable in Language Models ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

Reference 75

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verified exact
arxiv_id, observed 2026-06-10T02:11:48.908116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-11T03:09:11.013914Z digest=sha256:7be2f3138a41a867c37bb2477c0fb812f9a5b864176a70af3511e96f953e6cc1

Observation d0b76257-3a07-4959-9576-f39e8a0cb50e · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

Reference 30

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arxiv_id, observed 2026-06-10T02:11:48.908116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T05:31:54.252816Z digest=sha256:8dbf9819d5a8193f9eec3006125c945963a30984280fdb836f08904fd8e79b0b

Observation 331177c8-33e6-4682-847d-0e14871a2fc2 · inbound

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use cites this paper.

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

Reference 30

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verified exact
arxiv_id, observed 2026-06-10T02:11:48.908116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T20:52:20.975459Z digest=sha256:d300d3b99b63bac332547d7e2c99b77eea04a4d2cb852846eeb822963c66d543

Observation e42598b6-444a-4adc-a3d2-0834e36ed76b · inbound

Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents cites this paper.

Looking Is Not Picking: An Attention-Segment Account of Tool-Selection Failures in LLM Agents ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents

Reference 30

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local_arxiv, observed 2026-06-30T10:54:36.350695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-30T10:52:08.721745Z digest=sha256:aaae2b7b8465ee7118aa4b35a0e79512d4837eaac4cb478ee3596cb2e134b4ee