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Paper Citation Record · LEDGER

Towards Optimizing the Costs of LLM Usage

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.01742.

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

pith.paper-citation-record.v1
2402.01742 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:08.059353Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f79871d5-9408-4149-a2b9-dad09175872e · inbound

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving cites this paper.

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving Towards Optimizing the Costs of LLM Usage

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:08.059353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:08.059353Z digest=sha256:88f4af90d1773cf764e98ef79c8b7fd477655b12b4df85061e99f0c02eb1d407

Observation 7eb1a81c-9b89-4088-bd00-7037a3bf3982 · inbound

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives cites this paper.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives Towards Optimizing the Costs of LLM Usage

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-09T11:29:21.295940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:29:21.295940Z digest=sha256:acef22d1c841ae323881213fab0136340283d808eff2f682d6269efa51fb8694

Observation 3d6d7715-6d08-4361-8b3b-c3df7d76d658 · inbound

Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights cites this paper.

Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights Towards Optimizing the Costs of LLM Usage

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:25:05.457387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T20:24:01.224251Z digest=sha256:88d0b55711cdf909e75cb9a4d3934077325446dab123451cf8d18ad6b001bfbb

Observation a476204d-e9b2-4f1a-919c-b0a44e42760c · inbound

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification cites this paper.

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification Towards Optimizing the Costs of LLM Usage

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:35:47.028462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:47.028462Z digest=sha256:b98b4fa08adbd7a32e58b7f7c62a3e0077f6c30b1ac47ba3549d2f5a3a0dab87

Observation 194bb9e8-a866-4bf0-844b-b1a5e77e81b9 · inbound

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations cites this paper.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Towards Optimizing the Costs of LLM Usage

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:12.863632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:08:12.863632Z digest=sha256:f9f685d15f91cfa8ee8b96fd8461ff60147b7aacc60d9f9feedb169a97d26e51

Observation ddb4dcda-f09a-4818-9b65-3b24e3f75b6f · inbound

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models cites this paper.

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models Towards Optimizing the Costs of LLM Usage

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:32:08.458430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T07:31:54.509251Z digest=sha256:8e5e169e115061d1d9d9bd6928db4ef857b781a99413b32b61e242ea83b50601

Observation 1016d65c-d8ab-4ed5-9de9-c20c138e5ddb · inbound

eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing cites this paper.

eMamba: Efficient Acceleration Framework for Mamba Models in Edge Computing Towards Optimizing the Costs of LLM Usage

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T20:34:28.448133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:34:28.448133Z digest=sha256:60f0bafa1d31bf77b4fa4a1542381080b6c2a45caa212667aa9361d284b39d2e

Observation 803cdb22-1c93-42dc-87a6-76354ace978b · inbound

Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants cites this paper.

Dialogue to Discovery: Attribute-Aware Preference Elicitation for Conversational Product Search Assistants Towards Optimizing the Costs of LLM Usage

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T18:40:02.816786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T22:41:25.281507Z digest=sha256:3dd7e7526243b38499338921d49d719c42ca8e4f9dcf1365df0b2496f7f515bb

Observation 8e8121e1-404b-4d0d-9a3f-601247f7e1d1 · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval Towards Optimizing the Costs of LLM Usage

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.741458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:07:31.861143Z digest=sha256:ea2a1d479d5ac072e81bffbd6d67623999f9c92d5839333f1bbabaf23dd21a82

Observation 1dab3295-76bd-493a-8e78-956d4c549b19 · inbound

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning Towards Optimizing the Costs of LLM Usage

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T11:01:30.701488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:01:30.701488Z digest=sha256:9163239109788dee4eb21c6102ff4d7d31fdde6ed91cca742e200f588f9f54c6