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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.105236Z digest=sha256:2d7b53abc99ecc490c56da302107ef9a43916b517fc9772059a7ff1a37b680e5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.109071Z digest=sha256:924a7633dff55eba8fc846b7100084641e374f6c5fd02f953e95a0d3dcda160f

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=sha256:4acbcdcb418969c0c7362c416d0c7c2863a6c8af37ee5e312d004802b4267059

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.125244Z digest=sha256:20b4e05260af81337ff4757c2d94f1f57ddc463fe367b04799f5a6ba46910548

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.128805Z digest=sha256:33c9bf45b31c47cebf436425a5defdaa499ed87ba59248296ab2c8bcd456a683

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=sha256:7887c2195c6f62fb9651333746478776990111672937942034cc9e453c8fa3d0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.135705Z digest=sha256:017305f8aadafcd27955f2b8e6a6cb9843898207a0c148c74b573b78b1066d81

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.150339Z digest=sha256:48842842149d639e1f311077580d4d249a82af45088a4cc54cd7624e96b10a93

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=sha256:3e3451eb98e110b9bf49d4adc11019f7369f80cb23ff2e55fdab9ae19a6785eb

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

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=sha256:10368654fd23d932182eda782849e588c9f66249fbdad22ff0a247b03ae9340a

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

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: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
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: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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.170703Z digest=sha256:e90917db1674d7b678594feea5512652a0995724d516e0afee407c1fbe015eb6

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

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: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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.180545Z digest=sha256:e5654d09d9625e92c55eb159e81d758690a5c69264f9a684397e5137700d0ea8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.183744Z digest=sha256:117756689a5c8cdf018d51dfe2c31a7fe040b5f1baf890b34d50403604c6c8d1

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

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: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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.197374Z digest=sha256:56d32a3ac1e8111699f84bfac1a0db25564488c4df654551e914b88f4a6e38e1

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
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.203821Z digest=sha256:64780aa68a75cb42c7eb172b9e5efa89266f8cf4a5fab65b7401e8481efa0709

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.206891Z digest=sha256:2a0f4bc4c1f36473a31fb4026fffdb447c7c2d1a56313b58b174f3c10f93384c

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 2026-08-10T06:31:04.303077+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

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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

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.223160Z digest=sha256:7f6d47af49e939d5864f97421ceb9b76a8c53d0319afa294fc8adfc245e3f54f

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.228197Z digest=sha256:65db369dd785e55272292c964efc3cf0e69142783bce33275a5cb1b2d611fc9c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.240226Z digest=sha256:d7ad3cf84356f1cb5da77d5f718ae0c85cfd61599f9afc3597fdd9a15b791462

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=sha256:836635d68b667dbac753e7b40cc93318d99f9d4d485703f5987eb7447ec19a64

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-09T13:02:53.253348Z digest=sha256:206441ce73ba9ded83454c2e70d732a1beca461f67524d978914999532434848

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
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=sha256:5d049ffd2e8f081635778a8a78c83083f229f28311bb37af8b03ccf27967e6ab

Pith citing papers

No inbound Pith citation observations are available.