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Paper Citation Record · LEDGER

Making Prompts First-Class Citizens for Adaptive LLM Pipelines

As of 28 July 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2508.05012.

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

pith.paper-citation-record.v1
2508.05012 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T00:58:13.697256Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-27T06:30:09.085275+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:21:22.978335Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T21:57:26.168038Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact7
  • verified fuzzy9
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8032ee75-1801-4d22-888d-60d2a147a3ec · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.612486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:1bee879eb8bba95d2a5e4ad982bb688f1c0860d10cfafd60be8f81002df74ea1

Observation 8e922f99-ced0-4d54-9ff9-cadd189711ab · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.609172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:6c6dd56fc65d6d8ccb5265e24037d45e91147e3816dd9549c807eac74a076a4b

Observation da15de57-4a6b-4d56-86a7-d774197d95db · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.605843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:022a5ab4ccd3ab40cb642df3b5d465cfb66ca2f127ff21af79b053988a79d22f

Observation 72d06fa9-287f-47e9-a2ec-fe8a0698dd2c · outbound

This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.602591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:4c97bfc539fce87dc1c4166a26f96438f699f825efc69cb9a72c29e3f36db1d9

Observation e8617673-7631-4d65-bc54-1d7e757a1ed0 · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.599023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:09c48f074f9c6aaef04323f9a5f94acdd0d3b70cc350ae8bc75df502910b139a

Observation c7174f0e-83c1-4c9a-b3eb-64b678ea4053 · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.625747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:2f871c25f4b1d308d0531bc48f1ce01ce029e6236440fcb64f4a6383549d5182

Observation ec171c18-daf7-4b0b-8ba4-81621992f1ce · outbound

This paper cites Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.445463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:78d0a003613803cab351898e6f1ce1249db0514d5891e8fbf9fc43ce319f3b88

Observation b06456c5-34cd-47b0-97a5-e47ce2bb9009 · outbound

This paper cites Semantic Operators: A Declarative Model for Rich, AI-based Data Processing.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.433482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:181826fbfdedbff5350581761b3e0c4ed9a52210c0a78f3f151aa1c0ae9cb755

Observation dbadd217-198f-4ecd-b74e-23e475a61c7c · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.622427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:d81d953c5cc05708538a8538f7e3c47436b167d48e00de5e337dcd6c3fdf27a4

Observation 9cdf8173-ec14-45e5-b4f3-6fe3d3093912 · outbound

This paper cites CoRR abs/2505.14661(2025).

Making Prompts First-Class Citizens for Adaptive LLM Pipelines CoRR abs/2505.14661(2025)

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.427244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:d9315cf72c5a98a66428826895ed52314ee2a5a19c9e8860e7056d2ac9bc5e07

Observation f5d0a48d-7eb6-408e-b8eb-8f6747cd3f10 · outbound

This paper cites DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.439297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:4f50dd16e08bb01b986fa9d68d2f788c9e1cc410883f109b17d9eb1a43296d52

Observation 4a971a02-bbfd-4edd-a7d0-7cb51a5561e0 · outbound

This paper cites Llm for data management,.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Llm for data management,

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:55.942103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:cc2fdc1f5a4d937985bfb02f598eb1424540e411f654e077a5fb86c21ff9f6b1

Observation 8e48b434-8722-4edd-bcf8-67d55150674d · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.619182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:ce5881c6646b82427ff5412370090f6191b6c691d1704d5e206d3ca17cbf0180

Observation 26a16a96-1672-4ffe-8494-c518b9a4d6f5 · outbound

This paper cites DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.452056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:f4a439b9c47b4227b25b16229d565ff6466d6bcb2fc08c7077138d7269ffded3

Observation d356c444-187b-4e51-b932-a3afdeccaf1e · outbound

This paper cites JMIR Medical Informatics12, e55318 (Apr 2024).

Making Prompts First-Class Citizens for Adaptive LLM Pipelines JMIR Medical Informatics12, e55318 (Apr 2024)

Reference 15

Resolution
malformed identifier
doi_truncated, observed 2026-05-19T01:01:55.933974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:5552ca33a844415e4b1e5e0d0b476cc78d5cef3529c86ab4b9db74803e67bc4d

Observation 40ddef54-4e32-4564-92c6-ed2a2a23c1b4 · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T01:01:57.615802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:630370a508c89ebb58272c48fd42e7ac81eeeca2c8f39922ee6f75d656787f5d

Observation 340593d8-bc72-42bf-8b46-64aa5c701ad1 · outbound

This paper cites an unresolved cited work.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Unresolved cited work

Reference 17

Resolution
verified exact
doi, observed 2026-05-19T01:01:55.947579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:ed0d8a581b78df78c23c72bb4beba8c1b7e2f5bc183b546b90a97ac3657b8140

Pith citing papers

Observation e52486fe-a418-4303-bc4e-badb9760850a · inbound

Larch: Learned Query Optimization for Semantic Predicates cites this paper.

Larch: Learned Query Optimization for Semantic Predicates Making Prompts First-Class Citizens for Adaptive LLM Pipelines

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T21:57:26.169182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-27T06:30:09.085275+00:00.

source=pdf_text observed=2026-06-27T19:21:22.978335Z digest=sha256:1fcb67a2b714a5246fb868288f598cc2bb202750fe59a3468e32b9406615e4f0