Paper Citation Record · LEDGER

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.02454.

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

pith.paper-citation-record.v1
2412.02454 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:32:37.500348Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact11
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c64c3ff6-063c-486b-b079-47d3102e06d2 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.200536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f88305e7-1bfc-42c7-9062-90101f43e943 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:39.023444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a12e4bf-1b98-4ffb-b398-d45585505fc0 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:39.005999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ebf84415-fc11-48a1-9bd6-47b87ee6be24 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-08-11T23:32:38.017774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation deecf3e3-388b-44ef-a699-41ffdf2dd286 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.230867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754c9af4-6068-4a41-9f61-391a5439dfbe · outbound

This paper cites Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.237102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a000e2f9-15df-476d-be6b-35e952881d40 · outbound

This paper cites Transferring Backdoors between Large Language Models by Knowledge Distillation.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Transferring Backdoors between Large Language Models by Knowledge Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.244331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a15e468-ea28-4ab3-9535-bccd12c8d06b · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Gonzalez, Ion Stoica, and Eric P

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.249474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb5b4151-c4df-4dc2-83fd-a099976f5127 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.978760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15a478c6-ea12-43ca-9966-34f6a79b73e3 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T23:32:38.715057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b593247-63a0-4b75-86c1-ef8659396043 · outbound

This paper cites A Survey on In-context Learning.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining A Survey on In-context Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.265187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d27401-a7fd-440d-93ea-e85fa78e5599 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:32:38.615629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a7e615f6-868f-4247-bd06-f45099798eba · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T23:32:38.503604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4dc32a14-d77e-4d35-9142-93ef47a0df41 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.284046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23ab2011-2e9e-4a13-ac7d-a015ef32708a · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.960905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9a3b08d2-9bf1-4909-983b-732c6403b678 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.904043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6671e1c8-abed-452b-a34e-5dfba2a11738 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.301727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e8c155-c8ac-453b-b30e-c5994bcee16d · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 18

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.873653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 14f7a712-1e36-4ac8-a528-466dfdecb814 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.313366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25072cef-32a2-4403-8790-13d233528b51 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.319268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61938a10-3970-4596-a5f0-8c3bf5a0ada4 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.939762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 390881ca-a5c1-4688-89ed-3a7b41887d4d · outbound

This paper cites CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.329637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b10b3e87-ae4e-43d0-b46f-3bd09a4b9406 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.808751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46adc126-a5cd-403f-a3b5-879d5fd31c9e · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.342853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d9946b9-a580-4a09-b7f8-2323ef1be9de · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.349849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c0dc03-e7fd-48b4-97f5-55588028e627 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.356666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e38000d-059b-4b32-8e9e-e986f95de913 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.362476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2e80f3-29c7-4288-840e-d268197d2576 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.906133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a01db7ab-8aa0-4d48-bb42-0c3029cd3eb1 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.376110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b1d49f6-193c-4740-bab4-cd027f25a356 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.384232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a1497ec-8e04-46e5-afbc-19bda374e608 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.393639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 274187f0-9f35-426c-ad79-ff075489d293 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.400217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0b8efec-0049-4e53-a737-45305bf6b6d3 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.887023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 07eae30e-fdc2-45fd-918b-0be06f409853 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.869497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a63c6828-0628-460f-82e4-ac21951398e7 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.851884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 182733a8-c8c1-4654-8afc-b110191cbc69 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:32:38.832405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b36879eb-59d1-48b9-814a-01dd22ffb6e2 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.431697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c8e2e3-7697-4128-850c-f39712c0185a · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 38

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.701173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 696f4206-7a95-4508-b2bc-4e9eecfa2fbb · outbound

This paper cites Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.445016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e61ef8-530f-4573-8736-e62dc2524116 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 40

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.659506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb098fbf-d3a4-4ba4-b665-f60848de28a6 · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 41

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.640772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6ce9416-b30b-458b-be7b-1376fd7ce3ab · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 42

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.621372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2cd724ee-f883-41a9-a562-0bcea2c9680d · outbound

This paper cites Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.469049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e573e9cf-9b6b-46db-8e73-1634cf6e7aeb · outbound

This paper cites A Survey of Large Language Models.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining A Survey of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.476652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc7f476-c9ca-41e4-bb60-047d7fcdc94e · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 45

Resolution: verified exact; doi, observed 2026-08-11T23:32:37.550278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 583b1d8f-8b8e-4ab6-8e4f-82cc092ebc7b · outbound

This paper cites an unresolved cited work.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining Unresolved cited work

Reference 46

Resolution: verified exact; raw_fallback, observed 2026-08-11T23:32:38.158082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f353f2a-135a-4c01-a725-db7c1bc50c11 · outbound

This paper cites online" 'onlinestring :=.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining online" 'onlinestring :=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.494065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 141b8cfb-f82a-4faa-904c-6a2e14128db4 · outbound

This paper cites write newline.

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining write newline

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T23:32:37.500348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.