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Paper Citation Record · LEDGER

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs

As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.23410.

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

pith.paper-citation-record.v1
2505.23410 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:51:52.636434Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1ca4f28f-8585-435a-8583-738e824d8002 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 1

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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 c9e6edf8-ab72-4508-a73a-2e53e53b2c5b · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 2

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source=arxiv_source observed=2026-08-07T12:51:48.484929Z digest=sha256:ce91e21a7b05150e90e377b6d2223f9ec8e48592555ad43bfb4ef90fc4bfd74a

Observation 32139b49-72f7-4d7a-bbbd-e292dfa2878e · outbound

This paper cites Language Models are Few-Shot Learners.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Language Models are Few-Shot Learners

Reference 3

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source=arxiv_source observed=2026-08-07T12:51:48.586837Z digest=sha256:e3552a3fcf08af9cf29c870af8eeb8a7e365b816b4da7dad76447498c4e03b33

Observation d6da9cbe-cc77-4f30-b511-e0fead7168dc · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unleashing the potential of prompt engineering for large language models

Reference 4

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source=arxiv_source observed=2026-08-07T12:51:48.708313Z digest=sha256:25ca46f9cd8b880b3006357455046dfdbddbbab5bed14937ae5a424e669cee3a

Observation 061b5d48-a68b-4711-a4ef-23d0754d957b · outbound

This paper cites The Llama 3 Herd of Models.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs The Llama 3 Herd of Models

Reference 5

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Observation 1ec777a5-7b11-42af-8b0a-630e17eac6ed · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-07T12:51:48.967516Z digest=sha256:ffce8d94244f4483d303d42e849b2fd571f97469c6b3c549f15597db93d8d465

Observation f6291e0c-8d3a-446f-8278-f8240f8022a7 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 7

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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 9cc1abd5-ee05-42e5-8c62-935aafcd045e · outbound

This paper cites Measuring Massive Multitask Language Understanding.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Measuring Massive Multitask Language Understanding

Reference 8

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Observation 238e1c05-a8c8-4e82-a2aa-013885bc431c · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 9

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Observation e276b406-8c05-4985-b709-f6e1e1470acf · outbound

This paper cites Mistral 7B.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Mistral 7B

Reference 10

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Observation 1b904f1b-c258-4327-9096-3d89b34f0759 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 11

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Observation f269ac46-f824-4ed7-a1b7-216ba8970f6a · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 12

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Observation 0904b15f-6d34-43f0-9449-4f8e485a9003 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 13

Resolution
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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 d9ac6795-67bd-4609-839c-c7f27fb919cb · outbound

This paper cites Understanding Finetuning for Factual Knowledge Extraction from Language Models.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Understanding Finetuning for Factual Knowledge Extraction from Language Models

Reference 14

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Observation a5f31588-1b06-407f-bf51-ffff4168f438 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 15

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

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Observation c42819b9-ba92-4f95-9b34-1536796a1cdc · outbound

This paper cites FLAME: Factuality-Aware Alignment for Large Language Models.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs FLAME: Factuality-Aware Alignment for Large Language Models

Reference 16

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Observation 20f0dbf2-147f-49b6-9b7a-68940faa6229 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 17

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Observation 49837494-1648-4011-937b-f1d33cc4bd32 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 18

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

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Observation d002eb0f-f480-46bb-a17f-6712f5614400 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 19

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Observation 4296ca15-3474-44be-bc73-d1730db79a33 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 20

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Observation 91eac69f-a185-4235-8632-635698579682 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 21

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Observation 6ef8d0b1-6c4d-4a3f-a28f-b96773d7d22d · outbound

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 22

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Observation a7f70037-248f-4453-bb08-19e52b217763 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 23

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Observation 256e8840-5904-4cac-a8f0-01d59b7d6c83 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 24

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Observation a139db09-6900-4f9c-8cf9-253d00ea4595 · outbound

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Language Models as Knowledge Bases?

Reference 25

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Observation 357c4dd0-6dd4-452b-b052-9254cbd364f7 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 26

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Observation 216c881a-daaf-48cc-95bb-e3e4a564f652 · outbound

This paper cites Simple Entity-Centric Questions Challenge Dense Retrievers.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Simple Entity-Centric Questions Challenge Dense Retrievers

Reference 27

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Observation 712fa113-b868-46ac-a7e3-42a76bd0456a · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 28

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

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 29

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 30

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

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Observation c1c458dd-b05e-443d-8907-25e52c96bf7a · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

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

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This paper cites Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives

Reference 32

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Observation d15992aa-cf7b-4e0f-bea0-2e534000286b · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 33

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This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 34

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Observation 0f82e2ef-9a5a-4d70-83e2-3b9989e63c30 · outbound

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 35

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Observation 47a1b250-cdfd-42aa-b571-d690c985ce6d · outbound

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 36

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Observation 899b39f3-826b-409f-8613-294916d5d5a2 · outbound

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From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 37

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Observation d2cc9101-c13b-4dc6-a4f0-794dae4913e4 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 38

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unresolved
no resolver link, observed 2026-08-07T12:51:52.432144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:51:52.432144Z digest=sha256:c5d5a288f16009277bc844e1e5a7814e555a327e1bd40240864be127ea59fd85

Observation b0d356b7-597f-4cd2-847c-acd2e0cb0e2a · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T12:51:52.516700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:51:52.516700Z digest=sha256:fa872a5df3d6cc2e641cf43d22973871f4cd3e2d0283153d623fc14220ef9671

Observation e7c6377f-4af4-4ca4-ba94-c98089aa2ad4 · outbound

This paper cites an unresolved cited work.

From Parameters to Prompts: Understanding and Mitigating the Factuality Gap between Fine-Tuned LLMs Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:51:52.636434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:51:52.636434Z digest=sha256:db2bd9ea6a2194fcfd8ab0ba2668ac4b2ab8e3dc41f80c05e8622405d0a56e2a

Pith citing papers

No inbound Pith citation observations are available.