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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.105236Z digest=sha256:1c59dea36237ece02c2f3ba82cb54af22b7aef589edfd850d07e9bae95d4e1d5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.109071Z digest=sha256:5bb6a58097ae0cb559753c406d934474e53b73286e80126753dd8405b1508127

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:ce90463107c7a99aba68539113232bafc4a963a5e2639a242b081e728cc581c3

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:d74e7067f9c2df3f24d70c82bbe67f614ea9bc65341f7eb99bef352384330809

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:dd6b357702aeec7149849ed95f333a8ee22792d0e6f2bab8c7913c9a34a6c76b

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.125244Z digest=sha256:10424f1931bfaca7531443d714e5c3d97676483937533b0ceabe33611171f3a8

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.128805Z digest=sha256:957291128240ce6720075a6dc1122ff5a10d0914994c8d163fbbeef3a56be3c5

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

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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=sha256:7887c2195c6f62fb9651333746478776990111672937942034cc9e453c8fa3d0

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.135705Z digest=sha256:495ee156f551827f249146d9e559ac24c2c17ce29e2e8a341fc7fc1cd57f545b

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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:451b5d55449d3c5ce173c4a0ec0431be32f530e89f8021e6434258ce88f5bf3e

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=sha256:8379e3d56a9258632387bc60865042f398b6e09d20121a3d52ad64da0c990808

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.150339Z digest=sha256:96668b26f2ef27c2055c0da7bc828facbef729223b6d9fbb6ebd37c9277345d9

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

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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=sha256:3e3451eb98e110b9bf49d4adc11019f7369f80cb23ff2e55fdab9ae19a6785eb

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

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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=sha256:10368654fd23d932182eda782849e588c9f66249fbdad22ff0a247b03ae9340a

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

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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:b3dbdaf301a4ca0cadc6636053d77af2df807b24ecc8634e437403ec03f1f8fb

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
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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:e707ed1c5380b9efeaef2a40ef988bd41bf5350d1a02e9fa1bfc60ca8e789177

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:a73da2f888b60dd0cf5158df5327097a9a0aead3807e9961184dbf0b2d81afb5

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.170703Z digest=sha256:e9351bea1ed69b81b282976659cf863f4cdd6a2023c2dafc110a9cf4f8626c7c

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=sha256:2d04a24f28f14d5e6539740f31a47c181e520de772d475654ebae0e88fc51e26

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

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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:ca3a89519854c5da9b888bef311f5f0853539dc6b745c880d35658bd8e462b35

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.180545Z digest=sha256:77463428f8c1c71c92321beca87d8858eed48616d30bf3eab329964b0e56628d

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.183744Z digest=sha256:5918290d63a71048a54b0fd1c62219b5acb92fbb51859a3a171747e35247e0f1

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=sha256:464767ae36dbc1186239c929b7271394fab4ea42a29ca77caf7bf21e4899cc4f

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

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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:d73923c7de4999e178a60082bb13bdb121bd5391b96bdbccd9078bc8cb63880d

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

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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:bd6953ec62b1c85ad02f2560b2b2e686cfff5dfe71490c023b95a867a41e9537

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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:8732adbba8a22aa2b6d31c99322d3a4108ffc850a7ad80c5409ddd62c89e293e

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
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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 2026-08-09T06:31:02.800959+00:00.

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.206891Z digest=sha256:edb5778da8517a1e5d8b838bd2a8c8581ad1d28f40b270af7977479f3429c6c1

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 2026-08-09T06:31:02.800959+00:00.

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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

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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=sha256:9364e90b3b404ca7223036e58070fc396085630c94d9dcc46c8f3be1eea8f532

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

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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:c8a683888adf737a17707b75ee4376bbf74ac78ab0faa963459238d6324a4df7

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=sha256:215deeb96a88055ee1fcf505c0c50c9e165028b1af9a9a9a82d300564af05d81

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

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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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.223160Z digest=sha256:1511b77d39be44df0c43c04e409c07d995e9db75b6c4b6519d3574efc4a092f7

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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:2e5c41099be0acbf0217afd1e03e2264c3a5ad1cb78b6663b358381354942a7c

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 2026-08-09T06:31:02.800959+00:00.

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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.

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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 2026-08-09T06:31:02.800959+00:00.

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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=sha256:77180e5e648263ef085b9956cee6fb01fbe31983ce7288bc285913eaa01f12dc

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.