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Paper Citation Record · LEDGER

Fusing Models with Complementary Expertise

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2310.01542.

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

pith.paper-citation-record.v1
2310.01542 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 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:08:23.069527Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.042959Z

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 ea1d197b-e5c8-45fe-bba5-ca00fb42eeaa · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Fusing Models with Complementary Expertise

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T13:08:23.069527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:08:23.069527Z digest=sha256:e576451631f1953d2c6e39c3eafa31719e27c91b7881f3fbe112eddc87927618

Observation 40e10578-8a23-49d9-b8a1-79251b34e779 · inbound

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding cites this paper.

Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding Fusing Models with Complementary Expertise

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T11:11:44.641988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:11:44.641988Z digest=sha256:ad2b2674d6cef1b77b1c786528a72564df607bfd73f63fdb82cc7f92c3d10293

Observation 169c6fe9-83d8-4e38-955c-730ae92036cf · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Fusing Models with Complementary Expertise

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:14:57.409555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:3fbcb3eda45ef4856649916b210876c87df50c1a949f6517ba2c538270ad5533

Observation 6e111868-9f4f-468c-bda8-3467697e0de3 · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Fusing Models with Complementary Expertise

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:11:17.491867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.491867Z digest=sha256:7ba1ad20ed884119f775ee0722b30b6ebf3ec6861c4c88c921fcf66398a3468f

Observation 4b273336-b154-4158-beb0-5e54dfe11d01 · inbound

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation cites this paper.

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation Fusing Models with Complementary Expertise

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:03.549476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:03.549476Z digest=sha256:98957ecd3f6d8561c1ba50ce08d6acf7a88636a421cf579804b8d34f54082244

Observation aadc9385-a682-4d8a-908e-5603d387cd2d · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Fusing Models with Complementary Expertise

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:02:17.781944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:17.781944Z digest=sha256:b1e252e835b5b67b456343d5e9484e9321ea5ae8818f5776b865f1b61c82f089

Observation 63d982d0-6173-438a-9dcd-34f66540ff13 · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models Fusing Models with Complementary Expertise

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.984220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:2eaf1e504eef30c76166074160c628579015113afd6ca59e2883ebd93d0a0d6c

Observation 3d47765f-738e-477a-bdc4-20b7e223ca64 · inbound

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

Token-Operations-Oriented Inference Optimization Techniques for Large Models Fusing Models with Complementary Expertise

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T10:48:59.644900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:48:59.644900Z digest=sha256:7f3013b88ecd41b09408757939279ed49bff66adc8967d3be1d621ed7b7ef6dd

Observation 46d3026e-0f29-4a07-afb6-6ed9d3837fab · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Fusing Models with Complementary Expertise

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:50:11.044489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-25T20:58:53.119386Z digest=sha256:a1987cebba2df914ae541e1cfdf4aeb4eb649c20aa6ca110158c30bc1e59a8aa

Observation 292161d8-fd66-4415-97dd-1c53f3e728b3 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Fusing Models with Complementary Expertise

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-02T10:16:45.050480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:16:45.050480Z digest=sha256:bd2e4cdc21e63fb28b14b884de0d7ade448c1cd5b15a5135175b337e4c7ee265

Observation a439d3a6-3d58-4762-8038-072d9b70ac63 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks Fusing Models with Complementary Expertise

Reference 74

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T18:37:16.450479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:5cbc0ecba03983800266328918d2c3eb52d8de4141faf3c884b87fddd333aa3f

Observation 34bd41dd-35cc-468e-ba5c-b53bc87333b2 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Fusing Models with Complementary Expertise

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-04T07:49:39.978523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.978523Z digest=sha256:2f5abae5fb19c80b4bc9cbe2bbb73a139b8f7d9ca4c9df2c1079670332f0d1b9