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Paper Citation Record · LEDGER

Enhancing LLM Agent Safety via Causal Influence Prompting

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.866902Z digest=sha256:b2fed684feea4d8c624cba457bdee7756f7e97d186db9100ea83d3dbd27ba90f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.847909Z digest=sha256:5afd5f7b0f615d8ddf9e058c022e386cb9bc6c1d0eb822ba6e2193c992d120e6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.874268Z digest=sha256:14be994e6ba0bd97f465bc5fd763c25d324d647c10cac9c8402296ed62bd409b

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:b0f2a5e64b7a53c3a8827cc4c278a745e753c99237c4887fa1b37b1bd99c5d95

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=sha256:9ab4edc1f5b52ba92a06e3d208032a73d7bc1f8d1a63ee71d86104579f4e3735

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.870715Z digest=sha256:03da58564f00d98e620a66932c76f6af05bc6d4f340deb87b77c45eeb46c9fc4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.877797Z digest=sha256:69b5a4ec1c4e7d2c312d6c4ad55a60661c9a08251e85de716464e336977328f6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.881271Z digest=sha256:8e60b36da70970b1594699360a773dc4a1abbaef07158031ac51e100dc2e4d04

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.885091Z digest=sha256:77ad0afaf19cf8e9b9d73a35c1cf3caea3dd8daa0630f04979f30176b9da240d

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.888656Z digest=sha256:4ca81252b0752133c13ec0952944873a78bcfdc56a3eb880452b81deb9ad4837

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.891943Z digest=sha256:1420712b940a5ff07883fd090e168000759af1dd30e1a0c3dc89f1196ae23d2f

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.896167Z digest=sha256:64dcccd936e3c4b4486b3767403405b3e7ff612dff2482e36e5c19fd402c0102

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.899421Z digest=sha256:9e58881bdebddb6b85169237813ec56fb78977c60d9091a03dfaf09d59be4cf4

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.903254Z digest=sha256:42d7ebc5a604305470743f0accaea91796dc03282c4585865627721782f900b2

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.906289Z digest=sha256:4c25a38ae18fc19bcac5e904c13511c157fda24b1cf2de0c34220214a31ad1f0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.919007Z digest=sha256:1f32a40999853e77685d398a34bd123c89df8445a346f1f981358ab258ce7574

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.922208Z digest=sha256:6adaee9917a80652b4609cbc9d2059323644c4f0ea371e0390eb8693023575a0

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.925418Z digest=sha256:6bd0ec4e48a23f02d098dd28fd0c247b15bf2bc3f407a55ab153b02c5fc23e46

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.928332Z digest=sha256:604e20894057f06c816821da65b436a44e8895a92a1dda02355f56219cfceb6e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.931069Z digest=sha256:8b00f9bdbb54880f866ae017b001fc219b2a84346d818a333ec1337e37f98741

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.934102Z digest=sha256:c6928e25780f722f4a3206242ce62ed060334f354e1439a7b8a2a6ca881f19ba

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.937199Z digest=sha256:dd2decb0c9c6a19d6f10e731b82d21d5ab2b29eb8f6739082245909f39d73b73

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.940442Z digest=sha256:374bcf8fc4caf50dbc3890d5d7f15363a90a6647530227b38ff4807d9683fafd

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.943528Z digest=sha256:511e833de2412ce528fa14cc26c83a5d92ea07a9147aae8cf8d80014ef3b5d32

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.947116Z digest=sha256:dc471acd7903af3ee7ebd138fb1c8b96b35ebc602c77b4d6bf7b09e928c4e1b6

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.950133Z digest=sha256:69279cc178435a640a49ea16f628d8a6a8e704a5ac3dc849d855ddaf90f35c82

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T21:06:54.953081Z digest=sha256:7acb11af1e3235c28d620ad89d9fafbb3b17d7c6fb6aa7788794457a287cd4aa

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:c55620edac1becba4ed43b6e96fb7710a0826cbbb7dafab5b964cbce6ca77618

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=sha256:1d55c402f2319a2199a634a08ad005e379ad72bba5fa82ab0f1e9867de72ff83

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:d54fc749afe75c84ea4609b06be8f5f8bb265eecb6a6aed36e939f6eee9892ad

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T01:01:38.141860Z digest=sha256:7d8508ce5c26ded4c974dba973d83d2e0125f9e7e5a7ddfa0e3854f9ad994605