Paper Citation Record · LEDGER

Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.02563.

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

pith.paper-citation-record.v1
2402.02563 v4

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

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:30:22.493452Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:03.030533Z

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 4346be21-a1bc-4769-ba57-d22cdd125e61 · inbound

Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language cites this paper.

Automated Collection of Evaluation Dataset for Semantic Search in Low-Resource Domain Language Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T16:30:22.493452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33178f74-042d-4c31-b71e-4b62539eab73 · inbound

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents cites this paper.

Division-of-Thoughts: Harnessing Hybrid Language Model Synergy for Efficient On-Device Agents Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T01:02:19.380829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1759b2df-81c1-45e8-bcec-7576cae84de1 · inbound

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems cites this paper.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:10.080248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2f17e7f-128d-4217-863f-18fb799381b3 · inbound

Strategic Reflectivism In Intelligent Systems cites this paper.

Strategic Reflectivism In Intelligent Systems Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:25.466856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13757d55-b4a4-4aeb-a828-f4ee582b6180 · inbound

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models cites this paper.

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T06:09:18.833058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dfc2cb9-4357-4207-a61e-82dcc0c894ad · inbound

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery cites this paper.

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:00:56.923044Z

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.

Observation 2d1c6103-197b-427c-81d0-9bcd39866011 · inbound

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery cites this paper.

AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model Discovery Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 118

Resolution: unresolved; no resolver link, observed 2026-07-13T09:23:40.328143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73549ef7-ff81-4970-b067-59edb5702937 · inbound

Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation cites this paper.

Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:03.049615Z

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.

Observation e5a92607-9d6b-4149-9a44-3d2b2b620720 · inbound

Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation cites this paper.

Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T00:19:59.347613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729ca07c-2203-4b75-8fe2-6d45b5c53bab · inbound

ARMove: Learning to Predict Human Mobility through Agentic Reasoning cites this paper.

ARMove: Learning to Predict Human Mobility through Agentic Reasoning Synergy-of-Thoughts: Eliciting Efficient Reasoning in Hybrid Language Models

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:36:01.678305Z

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.