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Paper Citation Record · LEDGER

Demystifying optimized prompts in language models

As of 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2505.02273.

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

pith.paper-citation-record.v1
2505.02273 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:01:50.148174Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7868c5bc-4b4b-40e4-9d49-76da89c8b967 · outbound

This paper cites online" 'onlinestring :=.

Demystifying optimized prompts in language models online" 'onlinestring :=

Reference 1

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Observation f78b3c31-61f4-47be-82d3-35cd24311e4c · outbound

This paper cites write newline.

Demystifying optimized prompts in language models write newline

Reference 2

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Observation 36a78596-4ab3-4b40-87c0-dd5f31ef3029 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Demystifying optimized prompts in language models Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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Demystifying optimized prompts in language models Unresolved cited work

Reference 4

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This paper cites SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model.

Demystifying optimized prompts in language models SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model

Reference 5

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This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Demystifying optimized prompts in language models Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 6

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Demystifying optimized prompts in language models Layer Normalization

Reference 7

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This paper cites Constitutional AI: Harmlessness from AI Feedback.

Demystifying optimized prompts in language models Constitutional AI: Harmlessness from AI Feedback

Reference 8

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This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Demystifying optimized prompts in language models Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 9

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Demystifying optimized prompts in language models Unresolved cited work

Reference 10

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Demystifying optimized prompts in language models Unresolved cited work

Reference 11

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Demystifying optimized prompts in language models Unresolved cited work

Reference 12

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Demystifying optimized prompts in language models Unresolved cited work

Reference 13

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Demystifying optimized prompts in language models Unresolved cited work

Reference 14

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 19

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Reference 20

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Demystifying optimized prompts in language models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 21

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models The Llama 3 Herd of Models

Reference 24

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Demystifying optimized prompts in language models Unresolved cited work

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Demystifying optimized prompts in language models Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection

Reference 32

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Demystifying optimized prompts in language models Howie Huang, and Enric Boix-Adser \`a

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Demystifying optimized prompts in language models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

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Demystifying optimized prompts in language models Qwen2.5 Technical Report

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Source-reported events for the cited work

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Observation 4262bff8-2dad-4439-8d1f-42ac5b563e02 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.072833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.072833Z digest=sha256:39a8b1b3159d986545f922f8b21cfb56d641daf453c465a5dec3d707a7824fb1

Observation c94cbac1-e034-43d7-b7df-d8d56e062b07 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:50.698771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 45132a3f-1350-42ac-a440-bf895749452c · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-16T01:01:50.429899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0ba89e58-c547-43d8-8ee0-0c21feecc26c · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:50.684903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0ad49d9c-12fb-4240-abd4-744ce3f11f89 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:50.671112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cd61461c-977b-45ec-9b34-73b6d8e20c0f · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.092443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.092443Z digest=sha256:67c36aead6c18c05ecf48af4adaad5c3fe96133cfedb7fef1640b46e0d67c9fb

Observation 394d8797-68ea-4f31-9234-7c6e91555878 · outbound

This paper cites Logan IV, Eric Wallace, and Sameer Singh.

Demystifying optimized prompts in language models Logan IV, Eric Wallace, and Sameer Singh

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.096528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.096528Z digest=sha256:d9eecaa215c25396cdc386e38913f59d1c5cd8efeac8537dcf16df7fe4c7f305

Observation 89b91363-1e81-4b62-8e7d-5093b25ccb62 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Demystifying optimized prompts in language models Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 49

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unresolved
no resolver link, observed 2026-08-16T01:01:50.100912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.100912Z digest=sha256:88e71b3de3a0dce135886d050e718be2b4a9334e9637772344e34db36b4d7b72

Observation 6f3a04cc-5e05-4ba5-92cf-7f5731453f40 · outbound

This paper cites Hashimoto.

Demystifying optimized prompts in language models Hashimoto

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.105287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.105287Z digest=sha256:c8532452085ed55800217f40b2d2a8d989b8113336dcae5382a5563ea47f44b7

Observation 996e20a7-5d36-419a-937e-942bb91c2347 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Demystifying optimized prompts in language models Gemma: Open Models Based on Gemini Research and Technology

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.109327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.109327Z digest=sha256:0736321b59c884236f7662cf28f779f8e7615f82f4bfb114506220adc6663e46

Observation 2b8e8420-1b78-48bd-8514-5aea8f050058 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.113980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.113980Z digest=sha256:2db5098a6c53f9d21b9e072f008152d961f6566a55478c9a4ccef2c2d76b97d8

Observation c75c3b1e-3042-45e7-9b62-4156fe192d38 · outbound

This paper cites FLRT: Fluent Student-Teacher Redteaming.

Demystifying optimized prompts in language models FLRT: Fluent Student-Teacher Redteaming

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.118287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.118287Z digest=sha256:fa77a7cabf3cd6088059aea3963d9cd6597e611b785ca3d43b6632dc19b58adb

Observation cff46c7f-ea63-423e-82ae-a8fc07d1c276 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.122856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.122856Z digest=sha256:ed8c537ad7dba08b18881e704f8db7538e7f0d2f925082d2d4c01f6dd95a8b61

Observation 799cbdc0-2ef4-40ed-a05c-b379442ec2d7 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:50.630398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T01:01:50.127241Z digest=sha256:0b88eb5851bb59adf0952c62ddf7a5d0019167163e4a7eb4bc6408129014b046

Observation b51ad9a5-54f1-4525-bd7f-ec0b7329018d · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.131415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.131415Z digest=sha256:7545acdf119e2651beb29051ef250d6a995439a64af7050d083f8dd5d8684826

Observation 74d3b796-9214-44d0-8be4-e9ee4d4546d0 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Demystifying optimized prompts in language models OPT: Open Pre-trained Transformer Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T01:01:50.135848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.135848Z digest=sha256:f624218efab80de576ba425b925f4b71fac9b05295a902cde1f068e9a12ff387

Observation 67bf6d61-816a-4cd7-876d-cba9a3878248 · outbound

This paper cites an unresolved cited work.

Demystifying optimized prompts in language models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-16T01:01:50.607311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T01:01:50.139938Z digest=sha256:eb1457363b01dd4e664a4b469b9c08aeb4a21435f2fe6e7dcbd1e00911c9da37

Observation 6b2d57a9-94ce-4290-81fe-4fda69a2bd77 · outbound

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

Demystifying optimized prompts in language models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 59

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unresolved
no resolver link, observed 2026-08-16T01:01:50.143779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.143779Z digest=sha256:f4fc016f8a78fa5ec709d62d854ee7e8d3dbc2f6dab5e0d4eba3cee171ec6326

Observation e989218b-7a8b-4ae0-8a84-e6eea4c6c2ec · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Demystifying optimized prompts in language models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 60

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unresolved
no resolver link, observed 2026-08-16T01:01:50.148174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T01:01:50.148174Z digest=sha256:70ae52e36fd1412adecf4fd3b19c9943c1b32624725f6cc5c65e8a3d55a2721e

Pith citing papers

No inbound Pith citation observations are available.