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Paper Citation Record · LEDGER

Cut Your Losses in Large-Vocabulary Language Models

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 6 inbound Pith citation observations for arXiv:2411.09009.

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

pith.paper-citation-record.v1
2411.09009 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:13:33.082736Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:56:00.293146Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:56:23.985782Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0abcb5e2-ea8c-442a-a110-453ab552cb16 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:34.148992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.803852Z digest=sha256:3ad2865acd2c11dc5e6b51407a75932591d0af886fa1f22dc7c0c46d72962593

Observation 79b2d5b9-efbc-49a6-8c55-da5d2b7064e0 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:34.082639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.810824Z digest=sha256:abac0790c81d9c5b1eb767b17a6dbbbfae0378b65db9fa7811833329143ac572

Observation ab62ba77-019a-49e9-9b92-216bec577dfa · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.997214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.817336Z digest=sha256:786192d813339dbd5d99b4759fd9ff9c020934c6f44c2a00f7595b4f912ece36

Observation fdcc9a91-5913-4de1-b016-8aee5e120234 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.970234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.837110Z digest=sha256:f49a19c308416d0cd0cc1f14fd5bc451f1da0fe2c0530ed8edc7afe80d51c129

Observation c51ea2e5-490d-4487-83eb-fc3cf3d9e561 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.903119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.925089Z digest=sha256:632fcfdb1c0223041a4e08130669b4ed997e3099cbd2b07b1b9264450809bf0a

Observation 6bad5cd0-9d46-42c3-8d90-354df108f68e · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.845067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.931292Z digest=sha256:7d377b9b524cf556a2986801e2a2671587f24fccaceb6007e9ddfd143b7290d5

Observation dee8f748-a067-49ca-b80c-85788b1e1b10 · outbound

This paper cites Filter) 0.06MB 17ms 1,163MB 110ms 1,163MB 126ms.

Cut Your Losses in Large-Vocabulary Language Models Filter) 0.06MB 17ms 1,163MB 110ms 1,163MB 126ms

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:13:33.757869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.941435Z digest=sha256:362f95e5672ee150dc45a3e4553f44ee83cd9ad15af3e6a3b00f7dc459701b24

Observation 10c1e314-6f70-47f2-838c-ae50d95b8e48 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.670119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.947692Z digest=sha256:3a85e602de34b90d1d96c48caedf909981695599726a0f8593e75fcc6824c18b

Observation 3a23189b-2bde-4848-ad0c-8e626311a774 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.579886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.954484Z digest=sha256:e58efea58d8f5732300a037b421977608dfd5455cbbc0b4d8e385918de338908

Observation 24c37c5a-5b8a-4035-a6ec-44223e300abf · outbound

This paper cites This simple change represents large improvements in practice.

Cut Your Losses in Large-Vocabulary Language Models This simple change represents large improvements in practice

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:13:33.495312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:32.960282Z digest=sha256:1074e3259b793eb8fddb0e98012bc1889e3a5f0bc510c67770e261fa65144dc4

Observation e1c88fea-44bb-40fc-b342-2977e4a12f88 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.473961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:33.009516Z digest=sha256:ca846e3dd861321bbeee8c9509959883c493fe8681a41f9262f8d5b3873c4610

Observation 7d3f0769-2617-4a49-95c2-ce5d2cb02052 · outbound

This paper cites an unresolved cited work.

Cut Your Losses in Large-Vocabulary Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:13:33.317832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:33.066978Z digest=sha256:38317b3b98db94ab9bcdc685a77fb46caf59defb822aa75e50efadeb91439026

Observation 63547b3b-4135-410d-b1fb-d99db92d75ad · outbound

This paper cites 4Ignoring split-k matrix multiplication kernels for simplicity.

Cut Your Losses in Large-Vocabulary Language Models 4Ignoring split-k matrix multiplication kernels for simplicity

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:13:33.297139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:33.072622Z digest=sha256:3ca7a8fbd442cb4d10d99f0813d26a6b5b2a2674c43e3de253c8d185d5eed72e

Observation dc16f3d4-a995-4ee9-a0f1-676c7be00097 · outbound

This paper cites Step 2 is where truncation happens and the intuition of gradient filtering comes from.

Cut Your Losses in Large-Vocabulary Language Models Step 2 is where truncation happens and the intuition of gradient filtering comes from

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:13:33.247877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T21:13:33.082736Z digest=sha256:8cebb7ba5dcc514d1aebc63d2c2a3f81081caca3dc7ecbbd5e671daeaf0d0374

Observation e198e498-82b8-4083-9a92-dc5b14527ed0 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

Cut Your Losses in Large-Vocabulary Language Models Linformer: Self-Attention with Linear Complexity

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T21:13:32.759337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:13:32.759337Z digest=sha256:296bd4976ba59ddfa9219d86956a565180aa411ea840e14f43e57d3f13032b82

Observation c21c7a3f-8a8b-4026-8acc-45bc66364180 · outbound

This paper cites The Llama 3 Herd of Models.

Cut Your Losses in Large-Vocabulary Language Models The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T21:13:32.672161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:13:32.672161Z digest=sha256:0769e529fa06bb3c1f0beff41d9a98c012b0d84fc43be333fb71da9afe52d9e2

Pith citing papers

Observation d620ba99-cd16-46b3-8e9a-23932052479a · inbound

Reinforcement Learning for Long-Horizon Interactive LLM Agents cites this paper.

Reinforcement Learning for Long-Horizon Interactive LLM Agents Cut Your Losses in Large-Vocabulary Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T14:56:00.293146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:56:00.293146Z digest=sha256:5f367626cb488f4890e4ba8c34003079dedde398e7b94a94b6c233dddbdf8290

Observation c95d2faf-a8e2-4a07-a554-9b3e00fa1b90 · inbound

Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs cites this paper.

Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs Cut Your Losses in Large-Vocabulary Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:52.635046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:11:52.635046Z digest=sha256:25ef601f7e6367e4de5245ab388cbe2259036d8d36f2b20ef56a3870626df6ef

Observation 637881d9-79f9-4776-90cd-dca4f38b50dd · inbound

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation cites this paper.

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation Cut Your Losses in Large-Vocabulary Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:22.566619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:32:22.566619Z digest=sha256:b743b83268d28c75e4b68d351699e5cf9b1b1125f40d57695f766be85780c333

Observation 8619c83e-531d-45a5-be67-095bea1cfbc1 · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Cut Your Losses in Large-Vocabulary Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:24:26.193277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T23:23:26.304190Z digest=sha256:386a0b9f7427d1c273a5b38f825a5bb12fb7696557caab4d3fa4221d7ad8e5d8

Observation 05248fda-417a-4a56-8845-867b2190b403 · inbound

Towards Generalizable and Efficient Large-Scale Generative Recommenders cites this paper.

Towards Generalizable and Efficient Large-Scale Generative Recommenders Cut Your Losses in Large-Vocabulary Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:56:36.912477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-25T03:51:28.335012Z digest=sha256:0026c7ad3d3082343724b2a02cec7812ae0ea61b16098fef601843945b94f0a8

Observation 6ab5b66d-4e4f-458a-aa35-7ec9be4e0fc6 · inbound

Large Byte Model: Teaching Language Models About Compiled Code cites this paper.

Large Byte Model: Teaching Language Models About Compiled Code Cut Your Losses in Large-Vocabulary Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:56:23.987683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T13:47:15.984105Z digest=sha256:a4d462058f606db5d664aa75915738860065ed139927494d4f9138d0e271cc54