Paper Citation Record · LEDGER

EcoAssistant: Using LLM Assistant More Affordably and Accurately

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2310.03046.

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

pith.paper-citation-record.v1
2310.03046 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.934613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:09:36.821996Z

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 20d156cb-63ce-4480-9bfe-9548f7edb240 · inbound

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-09T19:10:53.934613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b76a67a-5d4a-49b6-a023-efee868e85c9 · inbound

ORI: O Routing Intelligence cites this paper.

ORI: O Routing Intelligence EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T19:40:07.647788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58041f7-39eb-409c-bc2a-b14a206caabc · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.653903Z

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.

Observation 5cf3d3c2-0771-478c-a869-9735cf428956 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:56.726464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00c60fd-a5fe-4749-9e76-4529f3c07f98 · inbound

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference cites this paper.

Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T20:21:21.841780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae5a15e1-fbc5-4d5a-aa8e-2617c6df8eae · inbound

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models cites this paper.

One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Models EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:05:09.133218Z

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.

Observation f03e759e-2f40-48f2-b76f-d1863644d25e · inbound

Inference-Time Budget Control for LLM Search Agents cites this paper.

Inference-Time Budget Control for LLM Search Agents EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:07.850133Z

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.

Observation 7da53f43-6cc7-4f72-a2a0-fdfeb0f8f54b · inbound

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools cites this paper.

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T15:13:31.942831Z

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.

Observation 5b5d8959-dbfb-43e4-b963-b28350cab8eb · inbound

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack cites this paper.

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:02:53.802770Z

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.

Observation 18221f0f-8012-412a-a393-9685ce382bde · inbound

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems cites this paper.

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:16:33.982686Z

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.

Observation dab30ecd-d443-401d-878f-3546d1bf79f3 · inbound

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing cites this paper.

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.780873Z

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.

Observation bcf2ec2d-5acc-4b00-a06a-78b7ea806806 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:09:36.824018Z

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.

Observation 6264491b-e95f-4a74-b743-0f06f69208e0 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T10:49:01.044830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7df288e6-8510-4040-8b5c-02550e6311b7 · inbound

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness cites this paper.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T02:16:44.834101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.