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Paper Citation Record · LEDGER

Enhancing LLM Agent Safety via Causal Influence Prompting

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2507.00979.

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

pith.paper-citation-record.v1
2507.00979 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:54.953081Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:01:38.141860Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T01:01:40.290388Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d1f718-3678-4a0b-aaeb-be13b0ce8c23 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.229812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.866902Z digest=sha256:c3c6ba5b97c5ee1fabd7bc1df45e28d1a654056c21b0be3d257f1e150cf196dd

Observation 0be78b33-62f4-4b12-9259-fd282a83482f · outbound

This paper cites InProceedings of the 16th ACM Workshop on Artificial Intelligence and Secu- rity, pages 79–90.

Enhancing LLM Agent Safety via Causal Influence Prompting InProceedings of the 16th ACM Workshop on Artificial Intelligence and Secu- rity, pages 79–90

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.239110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.847909Z digest=sha256:e541401763344749e21b8dafe116ca72b4c5cde0be69b8f94e01b8c0e1423148

Observation 5bce3eff-c933-4ab9-a5dd-f897b8b33789 · outbound

This paper cites Nodes should be concrete and clearly defined.

Enhancing LLM Agent Safety via Causal Influence Prompting Nodes should be concrete and clearly defined

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.212782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.874268Z digest=sha256:383d30f871de1a3d14cbeae2b219ebf3ac968f84df281f98a540e279d15aa752

Observation 82d8ae7e-a8ad-4049-88db-b6260ce828b8 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Enhancing LLM Agent Safety via Causal Influence Prompting SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.855847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.855847Z digest=sha256:004e9e95cdc54a4a55839a171111a3d7a416895d34100c61f3ac152b7e3a10ce

Observation d15baaba-7741-4d6a-a7f6-190ee3915815 · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

Enhancing LLM Agent Safety via Causal Influence Prompting AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.859529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.859529Z digest=sha256:bb0e51bf70bbc824c9e08ae3c30b85d5ff24f437a4d0ac18f176c9f71f9cab87

Observation d409b801-d473-4309-b495-82f304f14bac · outbound

This paper cites The task may not contain any risks.

Enhancing LLM Agent Safety via Causal Influence Prompting The task may not contain any risks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.221379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.870715Z digest=sha256:5fe86de6a8042149a2bb33c749b4d81c7ce8df44a51079623f4b4a15646ead0d

Observation 5147f9ed-2ea5-4255-9355-6feb65662edd · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.203738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.877797Z digest=sha256:3301493cb890d8dce2096017b6b4c3d2dde457653f46caa8deaa7d34d82e57cb

Observation 6141aafe-7be1-473f-8783-12463f8b9a4d · outbound

This paper cites User Instruction.

Enhancing LLM Agent Safety via Causal Influence Prompting User Instruction

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.194934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.881271Z digest=sha256:2a7e26e5ebaf6a0a0e7d61c91c9e428a47dcc135f12a8fb1e882591dd9e426c3

Observation 2fd0ab3c-f7af-4e35-b0fe-5ad00c8c398b · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.186535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.885091Z digest=sha256:865f0af18a9553f2827fc3245fd869c5da035f30cd49f24f44cac78bf93b84c8

Observation 97b91591-ddf3-48b4-87e1-36047dbed85c · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.178580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.888656Z digest=sha256:cc230e9a3ac72115c14fe82790f30e75f24b15c163bc9c824c853dd4a24b3fdd

Observation 5b344703-f422-415e-b72e-8a865e08b0a9 · outbound

This paper cites - Perform refinement to contain the necessary information based on following rules:.

Enhancing LLM Agent Safety via Causal Influence Prompting - Perform refinement to contain the necessary information based on following rules:

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.169895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.891943Z digest=sha256:b8e89996c3e2915945516e9e4542f44319e43ed96c2a48c29fa17cdb42d1ed92

Observation 51a32c2c-34b4-4502-9513-606b2fd227e5 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.160908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.896167Z digest=sha256:b4e8b82a8d6ee071195e6a1aaf11e96f4fff7ee4e8cc70f4f2bf101889372105

Observation 8e9a7222-4961-4bc1-8eba-e169694810c3 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.152468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.899421Z digest=sha256:9c46c8abbbff850d4a43653f08bc34b354b878ea7e0bd75ba4621ac5605951ae

Observation a1ed2290-23bd-40e3-8d32-86dba2cb71c2 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.143908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.903254Z digest=sha256:e907db87571404c52e9a46c5d62a76a48e9dfa5b07bb2d61b89c23890a91b07c

Observation aa4bac3f-d173-411c-9854-dd476813a38b · outbound

This paper cites I just started the task. I need to plan about what I will do.

Enhancing LLM Agent Safety via Causal Influence Prompting I just started the task. I need to plan about what I will do

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.134599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.906289Z digest=sha256:2f5da3a0b40164bbbfde4ec29a742f65e8828a655cf33698c9c99fc7ad49efaf

Observation 86fb206e-dce5-485c-88fd-d576cc20ad21 · outbound

This paper cites Act: finish **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: finish **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.097303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.919007Z digest=sha256:491da18e369c257361566a5ed2585e5fa6ebcf05ef21bfe69fa93992e7e4feba

Observation 3fb18351-b988-4cbe-bc5f-fe66e1e43084 · outbound

This paper cites Act: execute ```only bash or python # put the codes here ```.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: execute ```only bash or python # put the codes here ```

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.125133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.922208Z digest=sha256:ad213b93307cfb40170b2813f7314ceaa47ea560ee877455092d38769268d52f

Observation 9d118470-9084-4268-ac8f-7a55fa31a81d · outbound

This paper cites Act: write ```only bash or python # put the codes here ```.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: write ```only bash or python # put the codes here ```

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.116108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.925418Z digest=sha256:59b90c840047a4b79c9244bfb9b2b023a50cd06b3094edf85e45fc42aed4670a

Observation 86272890-116d-4cc4-b818-5f076d3c90a0 · outbound

This paper cites Act: reject.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: reject

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.107024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.928332Z digest=sha256:2163fcfef0189df332250c45d2bf778e9d73320db443e125f9ab476a9f7f7ab1

Observation 0cbfe418-26b2-4c1d-af9e-01be9b3f4a1d · outbound

This paper cites Act: finish 19 **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: finish 19 **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.087871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.931069Z digest=sha256:56a23b59255006a124678f682a608438aae143290b5f186f5c9ae388c3379029

Observation 3abe44b3-f66d-4679-b9b4-5c6add7c27b3 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.078660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.934102Z digest=sha256:67f2dcf3225054e2dba590de4187a02cc15be7de274085a10820a2b552623ff8

Observation 9b2627ef-5aea-442c-9c33-79dc8588eecf · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.069352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.937199Z digest=sha256:9affdda531e68608d235148b0dbdc56a8db8f476db07ae8e11863a6e3cf1366c

Observation 983c22f2-5ec3-4648-8c48-5442ce7cb439 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.059974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.940442Z digest=sha256:76caf0e7ee100731bb49f21b430e120f77561e6e33077974558722dbd9b64d51

Observation 5adaf6db-5fb3-4474-9dda-e007d5b9f530 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.050733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.943528Z digest=sha256:293c1c635d802a1bc6b015eb794b83fde194c7ccac58edbc1062e34794b05ec5

Observation de1902b1-a57f-4305-8d42-9f755e7e69d9 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.041554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.947116Z digest=sha256:29f41310c01df3f7e911eed3eb06f8c1d2aba60a4236205d2e12d5995a3e2e06

Observation 7d3fea22-c9c1-4540-a782-8834c71e097c · outbound

This paper cites - Safety: Identify potential risks from the CID and ensure the selected action prevent these risks.

Enhancing LLM Agent Safety via Causal Influence Prompting - Safety: Identify potential risks from the CID and ensure the selected action prevent these risks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.032674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.950133Z digest=sha256:470df397176880cc0f9212d7bf23272166b617a78006b08e0174f6aefc668d6e

Observation 37bb5fd9-d81d-4ae0-b042-eae4a9e82eb0 · outbound

This paper cites I”. </rule> <rule> Never ever use phrases like “I can’t assist with that.

Enhancing LLM Agent Safety via Causal Influence Prompting I”. </rule> <rule> Never ever use phrases like “I can’t assist with that

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.022977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.953081Z digest=sha256:1baca787ed8a8cef2c951463ecb1606e6ad8f9d5fae6f4635e3f9cf8baa71073

Observation 05c50f3a-479a-4bf1-8854-926c8b6f34b1 · outbound

This paper cites Robust agents learn causal world models.

Enhancing LLM Agent Safety via Causal Influence Prompting Robust agents learn causal world models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.862967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.862967Z digest=sha256:efb5766f8385ec55849e35442106e9d29ad6dd6f4f78d25b34db4745060944b9

Observation f9e097b5-2808-4588-b28c-c23690e3e36e · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Enhancing LLM Agent Safety via Causal Influence Prompting Talk like a Graph: Encoding Graphs for Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.843692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.843692Z digest=sha256:80c3d4f10d1c1f68c25961f60ab555a72b5026ae655877b6abfb7ad7c1f62727

Observation f9690cfd-44b1-4fef-9248-8708558bf013 · outbound

This paper cites RedCode: Risky Code Execution and Generation Benchmark for Code Agents.

Enhancing LLM Agent Safety via Causal Influence Prompting RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.851170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.851170Z digest=sha256:43e16747186731fba9554937b454d05d5dc05fa50a42b225b11730b4a74f1bd4

Pith citing papers

Observation 8507fbf6-4904-41cc-ba87-804fd5cd7555 · inbound

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents cites this paper.

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents Enhancing LLM Agent Safety via Causal Influence Prompting

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:01:40.339519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T01:01:38.141860Z digest=sha256:1d03b383203c8ae5fe58c9092805ccca8051ef2c5810915290d30ee8050b5cd9