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Paper Citation Record · LEDGER

ORI: O Routing Intelligence

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2502.10051.

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

pith.paper-citation-record.v1
2502.10051 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:40:07.770441Z

measured 29 of 29 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T04:07:58.031100Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:41:30.818614Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 799687ca-c507-4d8f-a89a-a92c1e4c29aa · outbound

This paper cites Clustering analyzes provide evidence for these nuanced task differences, ensuring more accurate and context- sensitive model selection.

ORI: O Routing Intelligence Clustering analyzes provide evidence for these nuanced task differences, ensuring more accurate and context- sensitive model selection

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.153485Z

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=2026-08-07T19:40:07.417651Z digest=sha256:f86f25db35b786c4e3eb52363598b5cc37f8c19073db742d07c8a1aa0c9e36f5

Observation 92cdd388-b2d7-4a1d-8fce-a00f38db3ba0 · outbound

This paper cites perceptive router.

ORI: O Routing Intelligence perceptive router

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.106726Z

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=2026-08-07T19:40:07.453163Z digest=sha256:064594e61c4e2159e114e73d73b76fe93164196b11ccccd98d3f35d10c7a925b

Observation be4576b1-2b6c-4129-ad66-dae8d7ad9cbe · outbound

This paper cites , pn} ⊂Rd represent a set ofn prompts embedded in ad-dimensional space.

ORI: O Routing Intelligence , pn} ⊂Rd represent a set ofn prompts embedded in ad-dimensional space

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.087001Z

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=2026-08-07T19:40:07.475314Z digest=sha256:8ef70f17f837eaf83665ee5eaea09a407b00156c4d71c0cac8334fd750683bea

Observation 6bae5da5-5a09-4a67-bd4b-76a1c13562b8 · outbound

This paper cites This grouping helps analyze how the 6 prompts within each cluster are distributed across benchmarks.

ORI: O Routing Intelligence This grouping helps analyze how the 6 prompts within each cluster are distributed across benchmarks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.076168Z

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=2026-08-07T19:40:07.479457Z digest=sha256:8be562119cb4c0d570cd37aec1e5e5721c0d211cd343ea44f562927b0548e337

Observation 1c538959-9798-46e5-ab9e-b1c20260e4b6 · outbound

This paper cites For example: To identify the benchmark that dominates clusterk, we select the indexj∗(k) that satisfies: j∗(k) = arg max 1≤j≤p Dk,j.

ORI: O Routing Intelligence For example: To identify the benchmark that dominates clusterk, we select the indexj∗(k) that satisfies: j∗(k) = arg max 1≤j≤p Dk,j

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.065684Z

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=2026-08-07T19:40:07.484372Z digest=sha256:e00cd0e5ffa90b647788eecef2c20d42651639d025df692a538c1d6e96b57510

Observation 9249269d-5645-4529-86dc-26f7d729571f · outbound

This paper cites (a) Silhouette Scores: • The scores showed variability, but generally improved with more clusters.

ORI: O Routing Intelligence (a) Silhouette Scores: • The scores showed variability, but generally improved with more clusters

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.054786Z

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=2026-08-07T19:40:07.488837Z digest=sha256:ed8d63554eda00c247a3fe6713d42b35f7047d9eef6647ab5ea1d067278be2bb

Observation 75d2e14f-92d9-4b75-a7ee-3ee0cc1a3fbe · outbound

This paper cites an unresolved cited work.

ORI: O Routing Intelligence Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:40:08.044202Z

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=2026-08-07T19:40:07.493504Z digest=sha256:e3044974012138452f7f53fcda0017211604746eb2cfed6ac7e13cfc0eab3c73

Observation e8987dee-b34b-48a2-8d46-74c3b995c304 · outbound

This paper cites an unresolved cited work.

ORI: O Routing Intelligence Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T19:40:08.033372Z

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=2026-08-07T19:40:07.497407Z digest=sha256:050b70065dc7ac6eb7a403122d626c4cf1583f263aa03257167798edd6484fe5

Observation b40306ad-b9c4-495d-b8d2-a61437e7a84f · outbound

This paper cites 2Token generation speeds were calculated by dividing the total number of tokens generated by the total processing time (in seconds).

ORI: O Routing Intelligence 2Token generation speeds were calculated by dividing the total number of tokens generated by the total processing time (in seconds)

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.021834Z

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=2026-08-07T19:40:07.501740Z digest=sha256:cdc83f05c3db7b3e659b4288db93356efe892ca05954b596e72204266c47b51a

Observation 89a4b51a-aa24-4873-8d33-7ff8d4cf09fa · outbound

This paper cites Language Models are Few-Shot Learners.

ORI: O Routing Intelligence Language Models are Few-Shot Learners

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.505389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.505389Z digest=sha256:ffe345a9d6cd7191c6ffb615081e78e2309d5059b7e21e9eb406095eb39dd621

Observation 83450dd8-4dbc-4702-ac0f-d543268d553e · outbound

This paper cites & Petrov, S.

ORI: O Routing Intelligence & Petrov, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:08.010590Z

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=2026-08-07T19:40:07.509748Z digest=sha256:de2809093ac69e4977e9272f48e5cc03477e2f0ced0dcbe2f33e67f231e665d8

Observation 76bd4c48-1ade-4646-aa8b-06d478f2fc60 · outbound

This paper cites Attention Is All You Need.

ORI: O Routing Intelligence Attention Is All You Need

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.513900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.513900Z digest=sha256:486d892a0b3827b63e939e9098ce5c6a298b0cb458c9aa3d079267bbbe8b2530

Observation 8f302d72-f1b1-4472-a43b-44949bc5e6c1 · outbound

This paper cites Theory of Deep Learning III: explaining the non-overfitting puzzle.

ORI: O Routing Intelligence Theory of Deep Learning III: explaining the non-overfitting puzzle

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.518385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.518385Z digest=sha256:c594659a4a1aa792ea31c50263d9c560004ee11c60752c03a80918e5c74748c1

Observation 8bb3a688-d4b9-484b-a919-1b8a14181cbd · outbound

This paper cites MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs.

ORI: O Routing Intelligence MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.522465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.522465Z digest=sha256:6f3b03958de2bf73caf647192c89386025f022657c2543b940d2dc59c44c45a6

Observation 7d929815-5c15-4dd3-ba47-416a6795dd12 · outbound

This paper cites OptLLM: Optimal Assignment of Queries to Large Language Models.

ORI: O Routing Intelligence OptLLM: Optimal Assignment of Queries to Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.526867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.526867Z digest=sha256:1fa2b2e5eec6f683c51999f49f45032b727bc59bbeb1024bc187f742fdcd07d2

Observation 88387d0c-629c-4c2e-9046-5f4c330faecc · outbound

This paper cites RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models.

ORI: O Routing Intelligence RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.531641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.531641Z digest=sha256:5696ebd1ead2fd613e95041e5c932c93b15d5570c07cf2a1aaf5d5905bff625d

Observation 8dacfba8-0858-4a5f-bf66-5d06a39deab9 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

ORI: O Routing Intelligence RouteLLM: Learning to Route LLMs with Preference Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.536163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.536163Z digest=sha256:76337a1c587e868911d59e1ca9663e2c5d795e93572ecabcb8c6b6cd82939487

Observation 91be5564-90b9-4087-adf9-5667b03707f3 · outbound

This paper cites AutoMix: Automatically Mixing Language Models.

ORI: O Routing Intelligence AutoMix: Automatically Mixing Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.540624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.540624Z digest=sha256:e797995ff0daadc367d787320ca1d7e19daf6ceff4373dc4023c37407bd51cc2

Observation 973b8148-f3d5-4df6-bd80-1f6ed67cc6ab · outbound

This paper cites K., Srivatsa, K.

ORI: O Routing Intelligence K., Srivatsa, K

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:07.999676Z

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=2026-08-07T19:40:07.544556Z digest=sha256:f1fd792e7c31e3b8fbc39710a0561b137c40646be67fb98b812a682d19c2c8b0

Observation 7c8b9c3b-9cc4-47fc-b92a-da029a633017 · outbound

This paper cites EmbedLLM: Learning Compact Representations of Large Language Models.

ORI: O Routing Intelligence EmbedLLM: Learning Compact Representations of Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.549291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.549291Z digest=sha256:db5df9370d132af9a9ea586f9710485769a8ff300464ac791403d291d693b8b4

Observation 5d81322d-e1ce-4900-a9a5-bbd43f1a676d · outbound

This paper cites Smoothie: Label Free Language Model Routing.

ORI: O Routing Intelligence Smoothie: Label Free Language Model Routing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.553449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.553449Z digest=sha256:d72763c7f3bb6d19cf2935ead21d444c54e6a5712f87d7496dc6352060d032d4

Observation 460dcfb4-ea89-4434-a933-4f160c106803 · outbound

This paper cites GraphRouter: A Graph-based Router for LLM Selections.

ORI: O Routing Intelligence GraphRouter: A Graph-based Router for LLM Selections

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.568042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.568042Z digest=sha256:da307c633945c6c02c99aea51c93705dd7aab112b8598b09c0dbfa2138898d8b

Observation 1e55ed76-1e29-4eb2-9450-f90455ede7fd · outbound

This paper cites Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free.

ORI: O Routing Intelligence Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.609676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.609676Z digest=sha256:dc9ec936e3a25ae29192408e194f317b760dc87bfa82c7ab34269ccc60befeb6

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

This paper cites EcoAssistant: Using LLM Assistant More Affordably and Accurately.

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.

source=pdf_text observed=2026-08-07T19:40:07.647788Z digest=sha256:f9beaa51393dbdb2b106a9f9c28dbd7b48cb654ebe0c007f99b66f6c9451235b

Observation 91febde8-3983-47fe-8c9f-78dcbfbc7317 · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

ORI: O Routing Intelligence Large Language Model Routing with Benchmark Datasets

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.685952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.685952Z digest=sha256:dc7aeeceff3c4412332750d49d003922d6646c767e2558d473f29b68fd6232ef

Observation 27168892-f13b-41cc-9baa-4c8bb3748042 · outbound

This paper cites Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models.

ORI: O Routing Intelligence Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.745899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.745899Z digest=sha256:32486ba8f6ca866f5bb41103bc33c5762e20727cbc8206f837b25e1e373730d3

Observation cca31f8b-28f7-4787-952c-a5dcb5af890a · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

ORI: O Routing Intelligence LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.766237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.766237Z digest=sha256:a95b6412f462c7d70eae6dd7103bb3614ceb5ddf578b60143a1ad72fd227595b

Observation 01a10894-d239-4929-8d14-b6fc7f6a81bf · outbound

This paper cites (2023).FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

ORI: O Routing Intelligence (2023).FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:40:07.986887Z

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=2026-08-07T19:40:07.770441Z digest=sha256:d6af188922e265a64cbe6404868d102c376f99562be2799308a6c53a9fd06cd4

Pith citing papers

Observation 145e7cb0-b5f6-4e30-9d15-b51cffea940a · inbound

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models cites this paper.

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models ORI: O Routing Intelligence

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:41:30.821685Z

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=2026-05-07T04:07:58.031100Z digest=sha256:b6ba025ea0d7398430705f286cc350b802ac9c14ef82f24d9110fb5c07e1cb35