Paper Citation Record · LEDGER

Enhancing LLM Agent Safety via Causal Influence Prompting

As of 13 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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.

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.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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 2026-08-12T06:34:41.77262+00:00.

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.

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.

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.

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 2026-08-12T06:34:41.77262+00:00.