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Paper Citation Record · LEDGER

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2312.13382.

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

pith.paper-citation-record.v1
2312.13382 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:33:25.443461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:47:36.130572Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 74f7a3f1-47f4-43f1-8905-d8c1217b4063 · inbound

RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.

RouterBench: A Benchmark for Multi-LLM Routing System DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 108

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T10:47:31.146805Z

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.

source=arxiv_source observed=2026-05-16T10:47:31.006944Z digest=sha256:32cae892c7e11a653e5cd66c75a5e843ea7b08bbe4d3a4e1c37b79ab7c64e32d

Observation b1b91b32-77a4-4b4b-a726-4a90b2e95005 · inbound

TextGrad: Automatic "Differentiation" via Text cites this paper.

TextGrad: Automatic "Differentiation" via Text DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:27:58.289018Z

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.

source=pdf_text observed=2026-05-13T11:27:58.098484Z digest=sha256:b42d40388257ccede549b475769428eadd9f263a9602a0a5d010b097714bab62

Observation fa18ea2a-1474-42ad-972b-e764df186b12 · inbound

Aviary: training language agents on challenging scientific tasks cites this paper.

Aviary: training language agents on challenging scientific tasks DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-10T23:07:33.807216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:07:33.807216Z digest=sha256:0ddbd10d5d26e6d0c971dbdf291b767d433f808ff0c74e5755e320f9fe71853a

Observation b53a0fad-e239-4c54-9542-0bb59eee9494 · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:14.709782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:14.709782Z digest=sha256:23a208c684486830618ca959cb870722f1890a3dc8832aec0a36ce5d54d48208

Observation 350e11da-e245-40a4-9b3c-61d64bcbc605 · inbound

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition cites this paper.

ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T12:33:25.443461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:33:25.443461Z digest=sha256:647fee80e2e96378df28f410b7202c9e5874a655fb17e31eb9198f4daad2ed73

Observation 6df25bb7-d3db-47fe-9334-fdc7784e61e6 · inbound

FoodTaxo: Generating Food Taxonomies with Large Language Models cites this paper.

FoodTaxo: Generating Food Taxonomies with Large Language Models DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:00.083057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:11:00.083057Z digest=sha256:9563cbee0af8991c22fbfb405875517f90aaa68065203d5260dfe54ccd0f5787

Observation b9ae8b89-1084-4bca-951c-0fd403558898 · inbound

Data Diversification Methods In Alignment Enhance Math Performance In LLMs cites this paper.

Data Diversification Methods In Alignment Enhance Math Performance In LLMs DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:26.719336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:43:26.719336Z digest=sha256:5e5e038098d382434094990fa21b8d4777c1f571fe2b49f0a29e9ffea44a1ea8

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

Making Prompts First-Class Citizens for Adaptive LLM Pipelines cites this paper.

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:fc91227512f34bc1877ea4176830bccf11d406dd69a15075308032c3c59abafe

Observation d31c785f-14b9-4a34-be54-212e1fb764f7 · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 87

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T23:21:42.686873Z

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.

source=pdf_text observed=2026-05-15T23:21:42.029285Z digest=sha256:4c0212eee4ba04f699cb2048c66bb9db3123d378c646b6bb494d250fe7b3c46d

Observation f021194a-708f-4459-8587-35882b2e3ec8 · inbound

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models cites this paper.

Reconstructing Item Characteristic Curves using Fine-Tuned Large Language Models DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-03T12:36:12.612884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:36:12.612884Z digest=sha256:d19fcd532f2856180558add1ed6c3149aa60054a880f7afa9c6b411e6e762f2a

Observation 68907a83-b0f4-4cf3-a28d-e3a1737f46ad · inbound

Probabilistic Programs of Thought cites this paper.

Probabilistic Programs of Thought DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:51:10.211266Z

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.

source=arxiv_source observed=2026-05-10T05:47:16.397997Z digest=sha256:0b741afa2c68904aee229d9e7dc6a04da1274406e6ff52c2b32f3e3610167279

Observation 0dda536c-49c3-4a63-a201-b40c62b5fee5 · inbound

Runtime-Structured Task Decomposition for Agentic Coding Systems cites this paper.

Runtime-Structured Task Decomposition for Agentic Coding Systems DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T14:47:36.132939Z

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.

source=arxiv_source observed=2026-05-19T14:46:37.166185Z digest=sha256:6ff76e40b727e70ed428b3b8d70004d9f51b56f45d7ee78c5b52c0474946f2b6