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Paper Citation Record · LEDGER

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2502.02199.

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

pith.paper-citation-record.v1
2502.02199 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:02:53.268609Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact12
  • verified fuzzy1
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4715d8d-fc3f-4627-94a9-c58ef1745fbc · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 1

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:55.010803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.100700Z digest=sha256:c20e923812574cd112c29f8ade09edc320155029bc2a095f9fad6fa3b9411f97

Observation f370d184-efb6-4b57-ab42-15a6fd6a4d24 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.091676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.105236Z digest=sha256:e417da52612ca0ab82ce793f5ebbdebc4410f7d1cee6fc4acb453b3cd2cfc8c6

Observation 0e059a1d-9bd1-4440-b642-c9d544812c23 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 3

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.837905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.109071Z digest=sha256:5c8c1074cbebce95dbcf081e366328030fd0089e8940428c8ba5b40ddc6aa6aa

Observation e471a90d-4957-47f0-9ddd-00872079e300 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.113410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.113410Z digest=sha256:89998fa65b15c4514ff558f232be70973df24824c52c32b74924ad01fa16eef3

Observation 801e1e14-6cfa-4c15-8837-ade8c9730517 · outbound

This paper cites Efficient Prompting Methods for Large Language Models: A Survey.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Efficient Prompting Methods for Large Language Models: A Survey

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.117215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.117215Z digest=sha256:2a03c13de6b76a2031ef3d90071a5277cfee79e176decfa57a87995498d1a4c9

Observation 8d53b456-d33a-42cb-be3b-6d476ffa40fb · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.121042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.121042Z digest=sha256:f567106e6e3644975bc7334f88a81e9f4edc3eba66afb1a0876624494f91880f

Observation db764874-9ff8-420f-9aa9-5ce499332f03 · outbound

This paper cites Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T13:02:54.673813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.125244Z digest=sha256:9c2e28f968a41248d76bba5f85e8a1c293edbf4fc63e1fccd847d99b2744e6ed

Observation 86a01086-f715-4acd-b283-bd2fe57b5c53 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.464124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.128805Z digest=sha256:ebd39f2b7ec0cb4ecd05deef28a430b4b3067595fd4adcebfccbca4963223cfe

Observation 6a1d7701-6358-49fc-a661-b2460339fcc3 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.132319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.132319Z digest=sha256:35c6013604d1bd56845f5841d66ab5fe0e82d1c8b8e192c07f970ca0e6bc2fcd

Observation 808a4ad2-9abf-4dff-acb0-3e775aca2b06 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.082645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.135705Z digest=sha256:b02a31ef3d204e3807c6fae2090a5f4ea19c8b6ff9b351c55a6d041fe440fb81

Observation 5b2b1c7a-5541-49b7-a358-d53bce086482 · outbound

This paper cites González-Castaño, and Enrique Costa-Montenegro.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks González-Castaño, and Enrique Costa-Montenegro

Reference 11

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.437206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.138857Z digest=sha256:6117d952c4f62e9f86dcbaaab8c9e9fbe15ff51b4c0727b8acf227b91e45c78f

Observation 28d3c987-4ee5-4651-90b6-fca2e95b9577 · outbound

This paper cites The Llama 3 Herd of Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.142471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.142471Z digest=sha256:84ba725a6a8004b28950c590b3c2b29782c9ed4287fbb95cbfb26796757404fe

Observation 2fc0acfb-5fe1-4469-8a0d-261a6916a64f · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.146359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.146359Z digest=sha256:4d14b110ef3e539ceeea85119db1f562c7d20b32cf04075145b0fa1895d27585

Observation e8130cc7-3816-4da9-a9f6-6a0406ac299a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 14

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.649416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.150339Z digest=sha256:e9ed46f731d8fe4a8807ea1ce103794ad1a65c750652a3969c51301257d166c0

Observation a3487e08-6d15-4af5-b93e-2b03e994ad4b · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.153374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.153374Z digest=sha256:38c9b5268d712364c0be5148e2c82e451f4bead03170ed6de4239b34c85724d6

Observation 5fd62a4b-8f3c-4267-a3a8-67a08f8f48c3 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.156747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.156747Z digest=sha256:0b563bf3b85d48195c4062b8268c0357fe9fee4144b86c47dab784b187d1eb4e

Observation 11a60c4d-1b4b-4181-9502-f95a9936930d · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.159891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.159891Z digest=sha256:899aab19332dfd30670a2c67b2591fd108a98e754ed1b50aed4e5c5b07a6c4a3

Observation 0e4b7e11-7d18-42bc-8c1e-f423e0ef3225 · outbound

This paper cites Scaling Laws for Neural Language Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Scaling Laws for Neural Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.162781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.162781Z digest=sha256:a48671500044a287f1b1a763ab91ffd398a7d33e3906ad2593cf8d192c5a261f

Observation c4baf684-cf31-4aea-bad5-a0721538b37c · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.166260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.166260Z digest=sha256:d439d40ea38ad79fa7e791b519fe1e633af6ff091cecffb99cfb75b30bc46116

Observation f3457cca-8cee-4c76-b3be-492d9acd2ee3 · outbound

This paper cites Cohn, and Janet B.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Cohn, and Janet B

Reference 20

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.340478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.170703Z digest=sha256:245e436818ec1be075b27135bebda300203d3250fa01e4f889b3a7dd8026c057

Observation 0e8a439c-0da6-4f17-adfe-a8221e1489c0 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.173736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.173736Z digest=sha256:c886081aa42673489dab987136c435247f3a7ca3a58d6cae55e255933361ee87

Observation a344154d-48da-4ef8-82d9-25b4b8ebd33f · outbound

This paper cites Ivanova, Idan A.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Ivanova, Idan A

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.177053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.177053Z digest=sha256:24163e3e048279e757ca5d417f35eeb567a6d3813162fdf88129d0e06d744d74

Observation 8d5ddf4a-1dca-4656-a037-2853278c1a1d · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 23

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.374497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.180545Z digest=sha256:beaa251c411ad17ff185d6eacdaaf70b4af5c9696cc39a13affe78a59b3d0e1f

Observation 62dcb022-4d85-4b3d-9dea-fa3d2d9a6249 · outbound

This paper cites From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks From Amateurs to Connoisseurs: Modeling the Evolution of User Expertise through Online Reviews

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:02:54.179200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.183744Z digest=sha256:d1c159b55a4218fe9616f7d57e8757f47b63f65e4358ecbfc8678cdac0f4b6c3

Observation aa08db51-a677-4da9-86c9-cbe9128a792f · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 25

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unresolved
no resolver link, observed 2026-08-09T13:02:53.187019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.187019Z digest=sha256:0342d526401c04749b6059db4114754b1d5a7ec24a8ae4b07134323d64d6a004

Observation 36af0bd8-29c2-4c9d-847f-ae8ee590c578 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.190347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.190347Z digest=sha256:b77f3875eeedab5485bc199b40991971d711d36e2278b41f0f824c9423dc8e0c

Observation 5ef40a0e-66d5-404f-9190-93ba00624e2c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.193792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.193792Z digest=sha256:35a61e8326f857076dc9117010a034e8ed8ca71d0aa6a30fafaebae363a2ea36

Observation 823162ff-cfec-41b2-b5fc-37dc0857326c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.073322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.197374Z digest=sha256:91bf2bc26b704e5dcc0ebc3a4ae32ca3d3677eaa1da48f27415e96418ce00e31

Observation 1e52d4e3-7be2-40bf-9f46-d48f60c32ed6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.200548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.200548Z digest=sha256:f0dea8f12dccd3bd6fdc8fbc5d7defe50513e70291716660f31536cc8d51a5b2

Observation 879ee342-fd2b-421d-b536-189f9ce921cf · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 30

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:54.155791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.203821Z digest=sha256:56673d72b2e203e54ebc9e124090a3edf2eed36f6080cc50a05a596a00ee5f5f

Observation dfe4db32-f725-43fa-adaf-415ad0b2492a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 31

Resolution
verified exact
doi, observed 2026-08-09T13:02:53.325779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.206891Z digest=sha256:2724a931ddaaee5d77f4616d1a972fea99616fcbc905351cf340f757146ed57e

Observation 6650da47-5886-40a7-bd34-b6631f2dbea6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.064003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.210124Z digest=sha256:f1d2d703d2aa5546c08a7b395640ba3c21f7d60bbba6bc71266ebfb9ea46d6c2

Observation 685ab6be-fef2-406e-bf44-9c87fe13780c · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.213148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.213148Z digest=sha256:e6842c85ca2b63529bf616d89bd5735cfa95ff61204cc1919b564dda0af959ab

Observation b185208f-c087-4356-bf5e-aab515705032 · outbound

This paper cites Understanding LLM Embeddings for Regression.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Understanding LLM Embeddings for Regression

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.216311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.216311Z digest=sha256:5155ef00f7536e202b9428feae6b984515b679612ba0d2276d8b80092a8a367c

Observation cdbbef29-d75e-444a-93e3-fd99d4e05249 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.219756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.219756Z digest=sha256:fb018603f3a8ce741ea786d9a32f04602ef29ecea127a136825b45ba7a5eb3e9

Observation 12a2310a-c11d-4d2d-bcc3-1e710814808a · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 36

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:53.864223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.223160Z digest=sha256:e2313c5d5f513b73d03ad65f5c311a5c1dcd55ca2cd13857bd65b466148871cf

Observation 5bf70e6a-ad07-4030-b716-1f88553a528a · outbound

This paper cites Tjong Kim Sang and Fien De Meulder.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Tjong Kim Sang and Fien De Meulder

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T13:02:55.054278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.228197Z digest=sha256:a46881fee64e3699f40719e87205d0776bd87398c7e62a997e2da5def4901655

Observation 2792ec6c-4275-429e-9531-b83955e28de0 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.234092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.234092Z digest=sha256:df117086d7f0ce4f41f92edf182e2891360297038d6287bc905e62a754024684

Observation 659b0d7e-d487-457c-bf9f-345f51cccef6 · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 39

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:02:53.689858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.240226Z digest=sha256:4cf026068bbb4f1df78bec74a950805d8b2d020634d64685961d105714abaa04

Observation bba383f4-1428-439e-b704-11f9778c9b23 · outbound

This paper cites To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.245973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.245973Z digest=sha256:dd6d09d3337dbe3af770a2c5b462fbbb2b05da9454177503efa3803a5660f245

Observation c092d89a-9023-4255-8458-91704ae1b2cf · outbound

This paper cites an unresolved cited work.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:02:55.039144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.253348Z digest=sha256:cca753621210433be3b48a5ee1859cbdd341139a38f36cb5d2118a579e3b7fb8

Observation ce01888f-cda5-4144-bb4e-2b4da157a9ab · outbound

This paper cites online" 'onlinestring :=.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks online" 'onlinestring :=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.261087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.261087Z digest=sha256:23a739546d7b7f6dd39b9a4e2ca5e3118ffad0f22b05af4db858f71b1accff26

Observation 1b67c10b-4ff8-440d-a7f8-56f410c174b5 · outbound

This paper cites write newline.

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T13:02:53.268609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:02:53.268609Z digest=sha256:f82ca9c67ffad85ef5da2c45728b2a89c8ef2e285514053c9d7d98cfb2bd0ac9

Pith citing papers

No inbound Pith citation observations are available.