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Paper Citation Record · LEDGER

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2312.15166.

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

pith.paper-citation-record.v1
2312.15166 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:05.936200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:07:09.407610Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0eab44cc-62e6-49aa-903d-1710b18c0d08 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 77

Resolution
malformed identifier
arxiv_id, observed 2026-05-24T02:15:55.447265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:816c99c153c36b1063ef75f567fd29a3ed9bce2cc7e676144023f6869788d9c7

Observation 59d9b44f-fe0b-4a66-b290-78c6dac7b04c · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 133

Resolution
malformed identifier
arxiv_id, observed 2026-05-13T20:18:06.706479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:addcd34dc3462c53d818e808d57146c5cae49c2969b08cded219ebf1abd73565

Observation e359f20a-47c1-48ac-b6cd-0e585d3e4ec6 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 109

Resolution
malformed identifier
arxiv_id, observed 2026-05-17T22:16:04.819850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:d65e054735db2b96dea760fb454f1f29a2a2e40f54ef3e90986986cb02b65616

Observation db79b3e1-1de4-4d1b-8839-711344341c75 · inbound

Latent Flow Transformer cites this paper.

Latent Flow Transformer SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-08-07T15:42:05.936200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:05.936200Z digest=sha256:a85095b3a54e2b6182da5bd6871a9bf2c814c3060156a87ced5522fd75844107

Observation 00b386a9-338e-4bfc-85fc-c037922ab477 · inbound

Efficient Speech Translation through Model Compression and Knowledge Distillation cites this paper.

Efficient Speech Translation through Model Compression and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 12

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:04:48.602066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:04:48.602066Z digest=sha256:eb5969e1d2500fc674990bbfa0909fb8d1e677d51ae5776f7304477af0c4c6d1

Observation a3c1da30-bbfd-4f14-8662-a686fbc5facc · inbound

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation cites this paper.

Resilient LLM-Empowered Semantic MAC Protocols via Zero-Shot Adaptation and Knowledge Distillation SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 37

Resolution
malformed identifier
no resolver link, observed 2026-08-07T15:09:37.628409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:37.628409Z digest=sha256:62259f8ab372ede928d4180e7fe749824ab344e8913badfca92037c153ed90d3

Observation 42830951-779f-4436-8dae-cfbc2b4694e2 · inbound

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought cites this paper.

SCOUT: Teaching Pre-trained Language Models to Enhance Reasoning via Flow Chain-of-Thought SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 25

Resolution
malformed identifier
no resolver link, observed 2026-08-07T12:39:00.710124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:00.710124Z digest=sha256:4d95c47755626eb36301232aaff5c47b6ed30bb69b448a6824ec400d99dc8fa6

Observation 370e85a8-7d92-4788-91b8-a889fbe7214d · inbound

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models cites this paper.

Chain-of-Experts: Unlocking the Communication Power of Mixture-of-Experts Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 48

Resolution
malformed identifier
no resolver link, observed 2026-08-06T23:28:39.250664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:28:39.250664Z digest=sha256:aa0a3f36b87269c202fc003861dfd9e348b02d4874317e9647962296f5902b05

Observation 8e1aac1d-3f89-4cc4-8b9f-a4ba61f04de2 · inbound

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study cites this paper.

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 8

Resolution
malformed identifier
no resolver link, observed 2026-08-05T10:33:30.244944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:33:30.244944Z digest=sha256:62b10e1bf9966fae940cec32fed8a72536ed5dcb918d2bedc5d0241ab6166c9d

Observation 424a487e-b4cb-4a64-ab4d-9eb99d4a7831 · inbound

MIDUS: Memory-Infused Depth Up-Scaling cites this paper.

MIDUS: Memory-Infused Depth Up-Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 14

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T22:03:36.128384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T22:02:42.297041Z digest=sha256:62266ca1db8fccf0e40023f5222b81ba19112d4fcf4da41e65a9f9eb1c2af344

Observation a4c31e22-759a-45d1-9bcf-cc0262ee1fb6 · inbound

Visual-ERM: Reward Modeling for Visual Equivalence cites this paper.

Visual-ERM: Reward Modeling for Visual Equivalence SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 11

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T11:19:57.913023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T11:19:42.002790Z digest=sha256:17b4af9e3c996b9f59c867cc135684576bf3b83b7e063f507df5e98d7e5517c9

Observation 8994c557-b41a-43e8-864d-602470089b39 · inbound

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models cites this paper.

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 30

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T09:05:58.772360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:16:51.109113Z digest=sha256:debf7226be079d5fa31c1e87d6a03071dc4f21e265547309e93a2c28257354e4

Observation 6ae07fc5-2413-441b-ac0c-e5e6ee13d588 · inbound

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity cites this paper.

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 23

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T19:41:11.046774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T11:08:22.322879Z digest=sha256:8c1634185b1001f7b7d8a002e48e291c9fe0dc227ec27b6870058f212631ea92

Observation d40349d5-5a06-4aaf-ac78-ed3e33a2493b · inbound

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration cites this paper.

BEATS: Bootstrapping E-commerce Attribute Taxonomies for Search through Iterative Human-AI Collaboration SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 6

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T11:26:54.195736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T04:02:38.834181Z digest=sha256:03b2923b43d602f16a89474a7bfdd206fdf9ce08c585ae3e47b96fbfc863d772

Observation a529809d-f6b0-4389-a74c-2ab7c4d9a8f0 · inbound

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling cites this paper.

Reversible Foundations: Training a 120B Sparse MoE through State-Preserving Scaling SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 47

Resolution
malformed identifier
arxiv_id, observed 2026-07-02T16:07:09.409007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:55:09.477413Z digest=sha256:a518b9f5ace65385e46e59a32c35d5c52b49720ec9e8129971b93558da3bd4b1

Observation b5a252e4-1286-4eb0-99f9-bf436fd4440e · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

Resolution
malformed identifier
arxiv_id, observed 2026-07-01T10:15:44.059441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:46:40.510955Z digest=sha256:aca6400618a11d3581934e2874e349bc7c33dd04fe96b8fb32946106ed39665f

Observation e2795c3d-b840-4ccc-a228-dfc81ce0b248 · inbound

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield cites this paper.

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 19

Resolution
malformed identifier
no resolver link, observed 2026-08-02T09:24:13.924447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:24:13.924447Z digest=sha256:55efc4c4ac3b5664dce2dd1d5faf62bb1409c69add3ac65f4d893fd5652d83f1